Home
overview

For the latest COVID-19 Travel restrictions and recommendations please click here

SMi’s 3rd Annual Conference
AI in Drug Discovery
14-15 March, 2022 | Conference
-------------------------------------------------------------------------

With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning. The current challenges within the drug discovery industry include the significant time consumption and expenses involved. This conference will discuss the solutions to these problems with presentations and updates from leading industry experts.

AI in drug discovery is leading the way into a shorter, cheaper and more successful R&D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.

AI in drug discovery is becoming an integral part of the research and development area of treating diseases with more companies incorporating ‘Big Data’ and data scientists within their R&D teams. Although the AI in drug discovery area has grown rapidly over the past few years, those in the industry acknowledge that there is a long way to go. Collaboration and partnerships are the key to driving this area forward.

Join us at SMi's 3rd annual AI in Drug Discovery conference and explore the latest industry updates in: the selection of targets using AI, decision making within drug discovery and closing the loop on AI in drug discovery. Don’t miss out on presentations from leaders within the field, giving insights into the latest industry advances and answering the big questions within AI in Drug Discovery.

 

  • Discover the main topics of research within industry, with talks on decision making, target selection and closing the loop
  • Engage with regulators about the guidance within machine learning and AI in Drug Discovery
  • Learn about the new breakthroughs within clinical trials and the treatment of disease
  • Explore the latest technologies in deep learning from leaders within the pharmaceutical industry
  • Discuss the impact of big data and how it applies to AI drug discovery within Pharma

Key job titles include:

  • Head of AI
  • Head of Informatics
  • Head of Data
  • Head of Computational and Systems Toxicology
  • Director/Head of Strategic Data & Digital
  • Director/Head of Medicinal Chemistry
  • Director/Head of Molecular Design
  • Director/Head of Computational Chemistry
  • Director/Head of Chemical Sciences
  • Director of Therapeutic Technology
  • Chief Information Scientist
  • Chief Scientific Officer
  • Principal Scientist (Computational/Medicinal Chemistry)
  • Senior Application Scientist
  • Senior Research Scientist
  • Senior Bioinformatician
  • Molecular Modelling Team Leader
  • Data Team Leader 

Previous Attendees Include:
 

 

AbbVie; Astra Zeneca Plc; AstraZeneca; Aurelia Bioscience; Axol Bioscience Ltd; Bayer AG; Bayer HealthCare; Bayer Pharma AG; BB Consultants Ltd; BenevolentAI; Eli Lilly and Company Limited; ELS; Enplas Europe Ltd; Epizyme; ETH Zürich; Exscientia; F Hoffmann-La Roche; GHPC GmbH; Glaxo Smith Kline; GlaxoSmithKline; Goethe University; GSK; H Lundbeck A/S, Library & Info Ctr; Japan Tobacco; JSC R-PHARM; MD Biosciences Inc; MedImmune; National Institute Of Advanced Industrial Science And Technology; Novartis Pharmaceuticals; Promega UK Ltd; Sanofi-Aventis; Schrodinger ; Selcia Ltd; Sygnature Discovery; Technology Networks; ThermoFisher; TissUse GmbH; UCB BioPharma SPRL; UCB-Celltech; Vernalis Research Ltd;

Conference programme

8:30 Registration and Coffee

9:00 Chair's Opening Remarks

Darren Green

Darren Green, Director of Computational Chemistry, GSK
View Bio

9:10 The application and development of AI methodology

Kim Branson

Kim Branson, SVP Global Head of AI and Machine Learning, GSK
View Bio

  • The intersection of functional genomics and human genetics
  • Target discovery, causal machine learning and clinical applications
  • Translating AI into the real world
  • 9:50 Fragment screening campaigns and machine learning models

    Carl Poelking

    Carl Poelking, Research Associate, Astex Pharmaceuticals
    View Bio

  • Advantages of fragment-based drug discovery and the methodology behind it
  • Machine learning models, identifying the fragment drive binding to the target 
  • A general overview of Astex’s campaigns: screening and rational drug design
  • Precision medicine and the role of fragment targets in treating cancer
  • 10:30 Morning Coffee

    11:00 Prioritization of Disease-Mechanism Relationships for Target Discovery

    Gabi Griffin

    Gabi Griffin, Lead Bioinformatics Scientist, Benevolent AI
    View Bio

  • Mechanistic drug discovery approaches can lead to target hypotheses with clearer rationales that are more likely to succeed in clinical trials
  • Multimodality data, including millions of relationships extracted from the literature by natural language processing, are harmonized in the Benevolent Knowledge Graph to identify and prioritize mechanisms that are relevant and specific to a disease.
  • The Benevolent Knowledge graph and its associated machine learning algorithms and tools can surface this data to drug discovery scientists so they can make informed, data-driven decisions about which mechanisms to pursue.
  • 11:40 Generating valuable insights from compound data to improve drug discovery productivity

    Matthew Segall

    Matthew Segall, Chief Executive Officer, Optibrium
    View Bio

  • Proactively highlight high-quality compounds by ‘filling in’ sparse data
  • Increase confidence in decision making, identify hidden opportunities, flag outliers and false negatives
  • Help translate AI insights into the planning of experiments to focus on the most valuable measurements
  • Gain more value from your compound data, accurately predicting complex endpoints, intractable with conventional QSAR modelling
  • 12:20 Integration of AI in drug design: activity modelling and decision making

    Christian Tyrchan

    Christian Tyrchan, Associate Director Computational Chemistry, AstraZeneca
    View Bio

  • An update of how the research has moved forward during the pandemic
  • Activity modelling and its impact on drug design
  • The challenges of decision making within AI
  • Active learning for FAP (functional ambulation profile as a research case study
  • 13:00 Networking Lunch

    14:00 NovaDesign, a Holistic Structure-based de novo Approach and Its Impact on Drug Discovery Projects

    Alexander Hillisch

    Alexander Hillisch, VP Head of Molecular Computational Design, Bayer AG
    View Bio

  • Components of the holistic workflow
  • Recent application examples of NovaDesign
  • Comparison to more traditional hit finding approaches
  • Future vision of holistic approaches
     
  • 14:40 Using AI Technology in Plant-Based Drug Discovery Research

    Andrea Small-Howard

    Andrea Small-Howard, Chief Science Officer & Board Member, GB sciences
    View Bio

  • Using AI technology to identify and predict the efficacy of combinations of novel active ingredients
  • An introduction to PhAROS (Phytomedical Analytics for Research Optimization at Scale)
  • The data analytics and machine learning capabilities of PhAROS
  • Specific examples of uses of PhAROS in drug discovery
  • Reducing the side effects commonly associated with traditional, single-molecule prescription medications
  • 15:20 AI in Drug Discovery – From Large Datasets to Biological Insights

    Sandor Szalma

    Sandor Szalma, Global Head, Computational Biology, Takeda
    View Bio

  • Large data sets and target identification
  • The biological aspect of target identification, biomarkers and patient selection
  • Machine learning: genomics and genetic signals
  • Finding insights for rare diseases using machine learning
     
  • 16:00 Afternoon Tea

    16:30 Applying deep neural networks in drug discovery

    Friedrich Rippmann

    Friedrich Rippmann, Director, Global Computational Chemistry & Biology, Merck
    View Bio

    Understanding how AI and machine learning is being applied across drug discovery 
    Predictive models and how they benefit drug discovery, including rational based drug design

    How AI and machine learning can alleviate some of the bottle necks within discovering medicines 
    The future advances within this field that will allow AI to be a critical part of drug discovery
     

    17:10 Standardising the oversight of AI- and ML-based medical devices, and the terminology associated

    James Arnold

    James Arnold, Artificial intelligence and data science head finance, Genetech Inc
    View Bio

  • The appropriate handling of data to ensure privacy and security
  • The challenges associated with data used as part of AI Drug Discovery
  • An overview of the terminology associated with AI and ML devices
  • Understanding the four common enablers that would accelerate regulatory review and approval
  • 17:50 The ethical stance behind artificial intelligence for drug delivery

    Andrew Pattison

    Andrew Pattison, Team Lead Digital Channels, World Health Organization (WHO)

  • Guidance on how to maximise the benefits of AI
  • Minimising the risks of AI for drug delivery and avoiding its pitfalls
  • Avoiding biases encoded in algorithms
  • Understanding the unethical collection and use of health data and how to avoid it
  • 18:30 Chair's Closing Remarks and Close of Day One

    Darren Green

    Darren Green, Director of Computational Chemistry, GSK
    View Bio

    8:30 Registration and Coffee

    9:00 Chair's Opening Remarks

    Darren Green

    Darren Green, Director of Computational Chemistry, GSK
    View Bio

    9:10 Accelerating Drug Discovery using AI-enabled ML across Target Identification to Clinical Candidate Nomination

    Irene Choi

    Irene Choi, Senior Director, Verge Genomics
    View Bio

  • Leverage AI-ML to identify a “disease signature” and novel targets
  • Integrate AI-ML in selection of relevant preclinical/ translational models
  • Focus on AL-ML enabled translational readouts which demonstrate PoC in advancing disease modulating therapies to clinic
     
  • 9:50 Artificial intelligence in drug discovery: recent advances and future perspectives

    Mathew Divine

    Mathew Divine, Senior Data Scientist, Boehringer Ingelheim GmbH & Co. KG

  • The current status of AI in chemoinformatics
  • Quantitative structure-activity/property relationship and structure-based modelling
  • De novo molecular design, and chemical synthesis prediction.
  • Advantages and limitations of current deep learning applications and next-generation AI for drug discovery.

     

  • 10:30 Morning Coffee

    11:00 AI-powered, patient inspired treatments for rare diseases

    Neil Thompson

    Neil Thompson, Chief Scientific Officer, Healx Limited

  • Using natural language processing (NLP) to extract disease knowledge from published sources
  • A hypothesis free approach, what is means and how it works
  • The rare disease-focused knowledge graph and what is shows
  • Rare Treatment Accelerator (RTA), what it is.
     
  • 11:40 Cross species meta-analysis of cancer associated fibroblasts heterogeneity via single cell RNA-seq and spatial transcriptomics data sets

    Varenka Angelica Rodriguez DiBlasi

    Varenka Angelica Rodriguez DiBlasi, Senior Scientist -Lab Head Exploratory Bioinformatics Group, Boehringer Ingelheim Pharmaceuticals, Inc.
    View Bio

  • Meta-analysis of CAF Heterogeneity in human tumours of PDAC and CRC
  • PDAC mouse models that recapitulate human CAF heterogeneity and their implications in immune-oncology drug discovery
  • Maximizing pathology informatics with AI approaches
  • 12:20 Integrating multi-omic data to lead drug discovery

    Ariella Cohain

    Ariella Cohain, Head of Computational Biology, MultiOmic Health
    View Bio

  • The importance of taking a holistic view towards data and drug discovery
  • Approaches on how to integrate complex data for complex diseases
  • Integration of data-driven research with wise experimental target validation approaches
  • 13:00 Lunch

    14:00 Patient-first drug development through AI-supported functional precision medicine platform

    Gregory Vladimer

    Gregory Vladimer, VP Translational Research, Exscientia
    View Bio

  • Functional precision medicine platforms enables patient-first drug discovery and development using primary human tissues.
  • High content imaging and custom AI-derived image analysis drives the scalable quantification of drug effects at the single cell level from primary patient material/
  • Platform technology has proven translational and clinical impact through the first ever prospective interventional trial prioritising therapy for late-stage patients with blood cancer (EXALT-I; NCT03096821)
     
  • 14:40 Panel Discussion: The use of AI in Drug Discovery for the treatment of rare diseases

  • How rare disease clinical research can benefit from the use of AI technologies
  • The importance of accelerating diagnosis through patient activation
  • AI-assisted profiling and patient activation strategies 
  • A future outlook on moving from computer science to medicine
  • Maria Luisa Pineda

    Maria Luisa Pineda, CEO and Co-Founder, Envisagenics

    Neil Thompson

    Neil Thompson, Chief Scientific Officer, Healx Limited

    15:20 Afternoon Tea

    15:50 Natural language processing from clinical trials to patent mining

    Peter Henstock

    Peter Henstock, Machine Learning & AI Lead, Pfizer Global Pharmaceuticals
    View Bio

  • Extended search and export capability for clinicaltrials.gov
  • Combining drug labels and patent claim extraction to interpret legal strategies 
  • Examples of additional use cases within pharma
  • The future and possibilities of Natural Language processing
     
  • 16:30 How AI enhances every stage of Clinical Research

    Bhupathy Alagiriswamy

    Bhupathy Alagiriswamy, Clinical Trial Manager, Boehringer Ingelheim
    View Bio

  • Challenges in the current and traditional clinical trial process
  • Overview of AI and its applications
  • AI in Clinical trial – pros and cons
  • Case studies
  • Regulatory guidance and ethics within AI
  • 16:40 Towards in silico clinical studies to predict drug efficacy

    Philipe Moingeon

    Philipe Moingeon, Head of therapeutic area immuno-inflammation, Servier Pharmaceuticals
    View Bio

  • Assessing the complexity of chronic diseases by combining comprehensive molecular profiling of patients with AI-modelling
  • Using disease models to support various steps of drug development
  • How far are we from performing virtual clinical studies to evaluate drug efficacy?
  • 17:20 Chair's Closing Remarks and Close of Day Two

    Darren Green

    Darren Green, Director of Computational Chemistry, GSK
    View Bio

    +

    FEATURED SPEAKERS

    Alexander Hillisch

    Alexander Hillisch

    VP Head of Molecular Computational Design, Bayer AG
    Andrea Small-Howard

    Andrea Small-Howard

    Chief Science Officer & Board Member, GB sciences
    Andrew Pattison

    Andrew Pattison

    Team Lead Digital Channels, World Health Organization (WHO)
    Ariella Cohain

    Ariella Cohain

    Head of Computational Biology, MultiOmic Health
    Bhupathy Alagiriswamy

    Bhupathy Alagiriswamy

    Clinical Trial Manager, Boehringer Ingelheim
    Carl Poelking

    Carl Poelking

    Research Associate, Astex Pharmaceuticals
    Christian Tyrchan

    Christian Tyrchan

    Associate Director Computational Chemistry, AstraZeneca
    Darren Green

    Darren Green

    Director of Computational Chemistry, GSK
    Friedrich Rippmann

    Friedrich Rippmann

    Director, Global Computational Chemistry & Biology, Merck
    Gabi Griffin

    Gabi Griffin

    Lead Bioinformatics Scientist, Benevolent AI
    Gregory Vladimer

    Gregory Vladimer

    VP Translational Research, Exscientia
    Irene Choi

    Irene Choi

    Senior Director, Verge Genomics
    James Arnold

    James Arnold

    Artificial intelligence and data science head finance, Genetech Inc
    Kim Branson

    Kim Branson

    SVP Global Head of AI and Machine Learning, GSK
    Maria Luisa Pineda

    Maria Luisa Pineda

    CEO and Co-Founder, Envisagenics
    Mathew Divine

    Mathew Divine

    Senior Data Scientist, Boehringer Ingelheim GmbH & Co. KG
    Matthew Segall

    Matthew Segall

    Chief Executive Officer, Optibrium
    Neil Thompson

    Neil Thompson

    Chief Scientific Officer, Healx Limited
    Peter Henstock

    Peter Henstock

    Machine Learning & AI Lead, Pfizer Global Pharmaceuticals
    Philipe Moingeon

    Philipe Moingeon

    Head of therapeutic area immuno-inflammation, Servier Pharmaceuticals
    Sandor Szalma

    Sandor Szalma

    Global Head, Computational Biology, Takeda
    Varenka Angelica Rodriguez DiBlasi

    Varenka Angelica Rodriguez DiBlasi

    Senior Scientist -Lab Head Exploratory Bioinformatics Group, Boehringer Ingelheim Pharmaceuticals, Inc.

    Alexander Hillisch

    VP Head of Molecular Computational Design, Bayer AG
    Alexander Hillisch

    Biography of Prof. Dr. Alexander Hillisch:

    Alexander Hillisch is a Vice President and Head of Computational Molecular Design at Bayer AG, Wuppertal, Germany. His team supports small molecule and biologics drug discovery in cardiology with computational chemistry, chemoinformatics, machine learning, in silico ADMET and structural bioinformatics techniques.
    From 1998 to 2003 he headed a research group at EnTec GmbH, Jena, Germany, a subsidiary of Schering AG, Berlin. There he was project manager in preclinical research and involved in the computer-aided design and pharmacological characterization of drugs against gynecological diseases and cancer.
    He conducted his Ph.D. thesis at the Institute of Molecular Biotechnology (IMB), Jena in the area of biophysics (NMR, FRET) and molecular modeling. Alexander Hillisch received his Ph.D. in Biochemistry with Prof. Peter Schuster in 1998 and his diploma in Pharmacy in 1995 from the University of Vienna, Austria.
    He is co-author of 44 research papers, 2 books and 62 pharmaceutical compound patents which led to 6 clinical development candidates. Alexander teaches “Molecular pharmacology and Drug Design” at the University of Cologne from which he received a honorary professorship in 2010.
     

    Andrea Small-Howard

    Chief Science Officer & Board Member, GB sciences
    Andrea Small-Howard

    Dr. Andrea Small-Howard has more than 20 years of executive and research experience in the biopharmaceutical industry supervising research and development, manufacturing, and quality control divisions in the US and China. Dr. Small-Howard has taken novel biological products from ideation through commercialization. Andrea has been named an inventor on more than sixty patent applications and obtained regulatory approvals from the US FDA and international regulatory agencies. Currently, Andrea leverages her biopharmaceutical industry knowledge as the President, Chief Science Officer, and board member at GB Sciences, Inc. Andrea brings her passion for advancing research on plant-based compounds to her current roles. She envisages bringing more plant-based medicines to market through their innovative AI-based drug discovery engine and drug development program.

    Andrew Pattison

    Team Lead Digital Channels, World Health Organization (WHO)
    Andrew Pattison

    Ariella Cohain

    Head of Computational Biology, MultiOmic Health
    Ariella Cohain

    Ariella Cohain is the head of computational biology at MultiOmic Health focusing on building and interpreting integrated omics models for complex diseases, in particular for cardiometabolic diseases. She has extensive prior research on applying and understanding these methods to numerous diseases. Previously, she led a data science team at a biotech, Thrive Earlier Detection. She completed her PhD and postdoctoral fellowship in Genomics from Icahn School of Medicine at Mount Sinai under Dr. Eric Schadt.

    Bhupathy Alagiriswamy

    Clinical Trial Manager, Boehringer Ingelheim
    Bhupathy Alagiriswamy

    My name is Bhupathy Alagiriswamy and I am based in London, UK.
    I am a qualified Pharmacist, with over 15 years of experience in the Clinical Research industry. I am a tech enthusiast and have a great passion for disruptive technology solutions in digital healthcare and have presented Artificial Intelligence in Healthcare related topics at conferences.
    My vision to enhance patient care using disruptive technology.
     

    Carl Poelking

    Research Associate, Astex Pharmaceuticals
    Carl Poelking


    I joined Astex as a machine learner in 2020, having gone through a continuous transition from physics (MSc, Uni Heidelberg), to computational chemistry (PhD, MPI for Polymer Research), to machine learning and applied statistics (postdoc, Uni Cambridge). My research interests encompass machine-learnt atomistic and molecular representations, machine-learnt force fields, reactivity and generative modelling, as well as nonlinear filtering approaches for sparse datasets – mostly in relation to structure-based drug design.
     

    Christian Tyrchan

    Associate Director Computational Chemistry, AstraZeneca
    Christian Tyrchan

    Christian received his PhD in Chemistry from the Department of Biochemistry in Cologne, with specialization in Pharmacology and Biochemistry. After joining AstraZeneca, he held different computational chemistry roles, contributing to drug discovery projects and building chemoinformatic as machine learning capabilities across the company. He is currently leading the Early RIA Computational Chemistry team and has a keen interest in the application of computational methods and chemoinformatics to drug development.

    Darren Green

    Director of Computational Chemistry, GSK
    Darren Green

    Darren Green is Director of Molecular Design and Senior Fellow, GlaxoSmithKline. Based at Stevenage, his group specialises in the application of molecular design, data analysis, predictive modelling and chemoinformatics methods to drug discovery. Darren also leads the Compound Collection Enhancement strategy for GSK.
    Darren has a PhD in Theoretical Chemistry from the University of Manchester. He is a Fellow of the Royal Society of Chemistry and chair of the Advisory Board for the Hartree Centre, the UK national laboratory for high performance computing, simulation and cognitive science.
     

    Friedrich Rippmann

    Director, Global Computational Chemistry & Biology, Merck
    Friedrich Rippmann

    Biography Friedrich Rippmann, Merck Healthcare KGaA, Darmstadt, Germany
    Friedrich Rippmann currently is Global Head of Computational Chemistry & Biologics at Merck in Darmstadt, Germany, and EMD Serono, Billerica, USA. Previously he was head of Bio- and Chemoinformatics at Merck, with responsibility for groups in Germany, France and Switzerland. He was also responsible for the set-up of bioinformatics and protein crystallography in Darmstadt.
    In his academic career he worked at the National Institute for Medical Research, MRC London, and at the German Cancer Research Center in Heidelberg, Germany.
    Several major software developments originated in his group, among them RELIBASE, a comprehensive database of protein-ligand complexes; and more recently DoGSite Scorer, a druggability prediction server; TRAPP, a webtool for analysis of transient binding pockets in proteins; and a panel of methods for selective kinase inhibitor generation. Currently he is working on digitizing many aspects of the early discovery research, including the integration into coherent workflows. Machine Learning, especially Deep Learning, and other aspects of Artificial Intelligence are central to this. Several recent press releases (with Cyclica, IKTOS, InSilico Medicine) highlight his commitment to making latest AI technologies available to Merck’s drug discovery process.

    Gabi Griffin

    Lead Bioinformatics Scientist, Benevolent AI
    Gabi Griffin

    Gabi Griffin, PhD, is a lead bioinformatics scientist at Benevolent AI, where she serves as the technical lead for Benevolent’s collaboration with AstraZeneca to identify novel therapeutic targets in idiopathic pulmonary fibrosis. She also develops products to identify and prioritize mechanisms for target discovery. Prior to joining Benevolent, Gabi completed postdoctoral training in epilepsy genetics at the Institute for Genomic Medicine at Columbia University Medical Center.

    Gregory Vladimer

    VP Translational Research, Exscientia
    Gregory Vladimer

    Greg is the VP of Translational Biology at Exscientia, and previously the CSO and Scientific Co-founder of the AI-first precision medicine biotech Allcyte. His group at Exscientia pushes the boundaries of translational cancer research and patient-first drug development with high content screening and custom AI-supported scalable image analysis of primary human material.

    Prior to founding Allcyte, Greg developed and ran the screening program for the EXALT I trial, the first ever prospective interventional study showing that functional precision medicine can deliver clinical patient benefit. He has work published in NEJM, Nature, Immunity, Nature Chemical Biology, and other top journals. He received PhD at the University of Massachusetts Medical School division of infectious disease and immunology before an EMBO-LTF funded Postdoctoral Fellowship at CeMM Center for Molecular Medicine in Vienna.
     

    Irene Choi

    Senior Director, Verge Genomics
    Irene Choi

    Irene has over 10 years of experience leading multiple neuroscience drug discovery programs from idea to clinic. Prior to Verge, she led early discovery, pharmacology, and program teams at Nektar Therapeutics. There, she helped bring several drugs to clinic, including NKTR-181, a first-in-class mu-opioid analgesic, filed for an NDA. Irene completed her post-doctoral training in Catherine Rivier's group at the Salk Institute for Biological Studies and received her Ph.D. in Biomedical Science with a focus in Neurosciences from the University of New Mexico.

    James Arnold

    Artificial intelligence and data science head finance, Genetech Inc
    James Arnold

    Jim leads AI and Data Science at Genentech / Roche in Finance, and he is responsible for strategy, portfolio, data platform, data science and artificial intelligence. His twenty years of industry experience includes leading companies in Pharma, Technology and Healthcare at AstraZeneca, Amazon, two startups, and Kaiser Permanente. He has led data science and AI for four companies. His experience includes developing an AI program used in the discovery of Viracept, developing the algorithms that identified the scaffold of Zelboraf, running global Search Analytics in big data at Amazon, and developing the national claims analytics platform and patient 360 prototype for Kaiser Permanente. His PhD was in Artificial Intelligence and Computational Chemistry with W. Todd Wipke (MDL co-founder) at UCSC, and his post-doctoral work in Computational Chemistry and Biology was with Irwin D. “Tack” Kuntz at UCSF. 
     

    James Hodson

    CEO, AI for Good Foundation
    James Hodson

    Kim Branson

    SVP Global Head of AI and Machine Learning, GSK
    Kim Branson

    Maria Luisa Pineda, PhD, is the Co-founder and CEO of Envisagenics. Dr. Pineda has over a decade of experience as a researcher and, before starting Envisagenics, she was a life science venture capital investor. Under her leadership, Envisagenics has received non-dilutive SBIR grants from the National Institutes of Health, generated significant revenue from Biopharma, raised capital from investors like Microsoft’s VC arm (M12), and won several prestigious artificial intelligence competitions, including the JLABS Artificial Intelligence for Drug Discovery QuickFire Challenge. To date, Dr. Pineda has secured research collaborations with Biogen and the Lung Cancer Initiative at Johnson & Johnson. She looks forward to closing more commercial partnerships in the near future to accelerate drug development with the help of SpliceCore®, Envisagenics’ AI platform that develops novel therapeutics for RNA splicing variants.

     

    Maria Luisa Pineda

    CEO and Co-Founder, Envisagenics
    Maria Luisa Pineda

    Mathew Divine

    Senior Data Scientist, Boehringer Ingelheim GmbH & Co. KG
    Mathew Divine

    Matthew Segall

    Chief Executive Officer, Optibrium
    Matthew Segall

    Matthew Segall is CEO of Optibrium, He has a MSc in Computation from the University of Oxford and a Ph.D. in theoretical physics from the University of Cambridge. He has led teams developing predictive models and intuitive decision-support and visualization tools for drug discovery. In 2009 he led a management buyout of the StarDrop business to found Optibrium, which develops novel technologies and ground-breaking artificial intelligence services to improve the efficiency and productivity of drug discovery.

    Neil Thompson

    Chief Scientific Officer, Healx Limited
    Neil Thompson

    Peter Henstock

    Machine Learning & AI Lead, Pfizer Global Pharmaceuticals
    Peter Henstock

    Peter Henstock is the Machine Learning & AI Lead at Pfizer. His work has focused at the intersection of AI, visualization, statistics and software engineering applied mostly to drug discovery but more recently to clinical trials. Peter holds a PhD in Artificial Intelligence from Purdue University along with 6 Master’s degrees. He was recognized as being among the top 12 leaders in AI and Pharma globally by the Deep Knowledge Analytics group. He also currently teaches graduate AI, Software Engineering, and Computer Vision courses at Harvard.

     

    Philipe Moingeon

    Head of therapeutic area immuno-inflammation, Servier Pharmaceuticals
    Philipe Moingeon

    Philippe MOINGEON received his PhD in immunology from Paris XI University, and an MBA from Open University Business School (UK). He was formerly Resident of Paris Hospitals (1981-1986), Post-doctoral fellow (1987-1990) and Assistant Professor at Harvard Medical School (Boston, USA, 1991-1994).

    He has extensive experience in the development of biologicals, holding several positions in the vaccine industry, including Head of the Cancer Vaccine program and General Secretary for Research and Development, at Aventis Pasteur (1994-2003), as well as Senior Vice President, Research and Pharmaceutical Development at Stallergenes SA (2003-2017).

    He joined Servier in September 2017, to head the Center for Therapeutic Innovation for immuno-inflammatory diseases.

    Two vaccines registered in Europe, USA and Japan, 210 scientific publications in peer-reviewed journals, 24 patents/ patent applications.

    Current scientific interests: artificial intelligence and computational modelling in support of drug development; applications to auto-immune, inflammatory and neurological diseases.

     

    Priyanka Challa

    Sr. Analyst, CIHI
    Priyanka Challa

    Sandor Szalma

    Global Head, Computational Biology, Takeda
    Sandor Szalma

    Sándor Szalma is Global Head, Computational Biology in Takeda Pharmaceuticals. He is responsible for computational biology, computational and statistical genetics, machine learning and informatics approaches supporting target discovery and validation/reverse translation and forward translation/biomarker and patient stratification in neuroscience, gastroenterology, rare diseases and oncology. He serves as a member of the governance board of Open Targets and leads the Takeda collaboration with the Exome Sequencing of the UK Biobank Consortium. Before joining Takeda, he was head of Translational Informatics and External Innovation, R&D IT in Janssen Research & Development, LLC. Previously, he was member of the industry advisory committee of ELIXIR, member of the board of the Pistoia Alliance, member of the Translational Medicine Advisory Committee of the PhRMA Foundation and led the Data & Knowledge Management Strategic Governance Group of Innovative Medicine Initiative. His past positions included president of MeTa Informatics, general manager of QuantumBio and senior director of Computational Biology and Bioinformatics at Accelrys, Inc. He was co-founder of Acheuron Pharmaceuticals, Inc. He lectured at UCSD Extension and was adjunct professor at Rutgers University in the Computational Biology and Molecular Biophysics program. He is the author of 45 scientific publications and book chapters and two patents. He received his doctoral degree in physical organic chemistry from A. Szent-Györgyi Medical University in Szeged, Hungary.

    Senthujan Sen

    Researcher, Sick Kids Childrens Hospital
    Senthujan Sen

    Varenka Angelica Rodriguez DiBlasi

    Senior Scientist -Lab Head Exploratory Bioinformatics Group, Boehringer Ingelheim Pharmaceuticals, Inc.
    Varenka Angelica Rodriguez DiBlasi

    Varenka Rodriguez DiBlasi, Ph.D. is a Data Scientist focused on Computational Biology. She heads the Exploratory Bioinformatics Group within the Cancer Immunology & Immune Modulation Department at Boehringer Ingelheim in Ridgefield, CT. Her group aims to identify novel target leads with first in class therapeutic potential by utilizing computational biology methods. She also collaborates with biologists to enable multi-omics study design and analysis to validate these targets.

    Prior to working at Boehringer Ingelheim she worked in the pharmaceutical industry setting ( Pfizer in Cambridge, MA and at Infinity Pharmaceuticals) and academic settings (Northeastern University, Harvard Medical School, and Johns Hopkins Medical School). Varenka obtained a B.S in Biochemistry from Northeastern University, a Ph.D. in Cellular and Molecular Medicine- Epigenetics & Computational Biology (Andrew Feinberg Lab) from Johns Hopkins Medical School, and is enrolled and has obtained various Machine Learning/AI certificate programs via MIT. She is passionate about advancing drug discovery through application of computational methods to challenging problems in collaboration with project teams.

     

    Sponsors

    Supporters

    Workshops

    From Drug Discovery to Healthcare, an AI insight
    Workshop

    From Drug Discovery to Healthcare, an AI insight

    Venue To Be Confirmed
    16th March 2022
    London, United Kingdom

    Deciphering AI Based Drug Discovery
    Workshop

    Deciphering AI Based Drug Discovery

    Venue To Be Confirmed
    16th March 2022
    London, United Kingdom

    VENUE

    Venue To Be Confirmed

    London, United Kingdom

    A number of our clients have been approached by third party organisations offering to book hotel rooms. We would advise that you do not book through them as they are not representing the SMi Group. SMi Group books all hotel rooms directly. If you are approached by a third party organisation then please contact us before making any bookings. If you have already booked a hotel room using a third party organisation, we would highly recommend contacting the hotel you were booked into to ensure a booking has been made for you. We would also advise you to please check the terms and conditions of the booking carefully.
    HOTEL BOOKING FORM

    Conference Chair Letter

    Download

    Chair & Speaker Biographies

    Download

    AI in Drug Discovery 2022 Brochure

    Download

    Workshop Agendas

    Download

    Past Attendees

    Download

    Past Speaker Presentation - Ton van Daelen, BIOVIA & Scott Bembenek, Denovicon

    Download

    Past Speaker Presentation - Steve Smith, Teva Pharmaceuticals

    Download

    Past Speaker Presentation - Naheed Kurji, Cyclica

    Download

    Past Speaker Presentation - Ed Addison, Cloud Pharmaceuticals, Inc.

    Download

    Past Speaker Presentation - Darren Green, GSK

    Download

    Sponsors


    Optibrium

    Sponsors
    http://www.optibrium.com

    Optibrium develops elegant software for small molecule design, optimisation and data analysis. Cerella™, Optibrium’s proven AI, guides drug discovery, generating valuable insights from your compound data. The ground-breaking Augmented Chemistry™ platform delivers a unique "deep learning" method, providing more accurate, confident results than conventional predictive models of assay bioactivity data.


    Media Partners


    IPI

    Supporters
    http://www.ipimediaworld.com

    IPI – International Pharmaceutical Industry Established by professionals with over 30 years experience in the Pharmaceutical and Life sciences publishing sectors. We have identified the needs of these dynamic industries, and have listened carefully to our readers and advertisers. With strong collaboration between Pharmaceutical and Life sciences Industry Associations we have created a global distribution network. We give you a promise to become a reliable extension of your marketing and communication arm. If necessary we will integrate our expertise with your needs. Incorporating new and innovative communication methods we will help to highlight your expertise.


    Mednous

    Supporters
    http://www.MedNous.com

    MedNous is a print publication and website about medical innovation in Europe. It carries exclusive interviews with companies that are at the forefront of medical technology, as well as contributor articles from prominent practitioners. Our mission is to identify significant advances in medicine and to explain how this innovation is being commercialised. In doing so, we talk to venture capitalists about what products and platforms they are supporting. We report on how regulators cope with the accelerating pace of innovation. And we regularly cover the latest developments in the discovery and development of new medical concepts in the area of antibodies, vaccines, small molecules, regenerative medicine and nanomedicines. MedNous combines the English word for medicine with the Greek word for intellect. And those with nous are readers of our publication. Visit our website: www.mednous.com


    Pharmacircle

    Supporters
    http://www.pharmacircle.com

    PharmaCircle is an innovative knowledge management company serving the current and future global leaders in the Pharmaceutical and Biotechnology related industries. PharmaCircle is a one stop information and analysis source for pipeline, products, clinical trials, drug delivery technologies, deals and acquisitions, company financials, venture capital investments, product sales, pharmaceutical services, news, patents and more….


    Contract Biotechnology

    Supporters
    http://www.contract-biotechnology.com

    Contract-Biotechnology.com is a web-based platform for laboratory outsourcing solutions. It is an online R&D matching tool that connects Scientifics and service and product providers worldwide. The platform Contract-Biotechnology.com would help you in the process of finding the right partner saving time and money, because with one single and secure application you would be able to receive multiple quotes quickly, keeping your contact information confidential. Contract-Biotechnology.com is the new Collaboration Network Model for Discovery Research and Development. Contract-Biotechnology.com team has extensive experience working for pharmaceuticals, biotechs, universities and academic research institutes and can help you addressing your key gaps.


    SciDoc Publishers

    Supporters
    http://www.scidoc.org

    SciDoc Publishers is a major source provider of e-journals in the field of Science, Technology and Medicine (STM). The nature of journals - Open Access and Peer-reviewed. We are aimed with a sole motive in making a mark in the field of Open Access, by propagating the knowledge to the scientific community. Our prime concern involves, the knowledge to reach millions of readers and give them access to scientific publications - online.


    Pharma Journalist

    Supporters
    http://www.pharmajournalist.com

    Pharma Journalist is a product of Kellen Media. Pharma Journalist is one of the leading website covering the need of global Pharmaceutical Industry. Articles like latest news, trends, analysis, market report, press releases, whitepapers, case studies, etc. published on pharmajournalist.com helps Industry professionals and decision makers to stay on the top of this fast-paced industry. Pharma Journalist aims of providing fast and informative articles to its readers and subscribers.


    Farmavita

    Supporters
    https://farmavitar.com

    FarmavitaR+ is the professional network of experts and service providers. Network is gathering local consultants from 90 countries in Europe, Asia, North America, Latin America, Australia and Africa. Management of international, multi-centre projects is our core competence. FarmavitaR+ is providing solutions related to pharmaceutical, medical device, food supplement and cosmetic products. Scope of services is related to solutions for product development, quality assurance, clinical trials, product registration, portfolio analysis, lifecycle management, vigilance/risk management, pricing/reimbursing, market access and promotional compliance. FarmavitaR+ is brand name of Farmavita Regulanet Ltd. Visit https://farmavitar.com for more information. Outsource anything you can think of!


    Gate2Biotech

    Supporters
    http://www.gate2biotech.com

    Gate2Biotech is a portal that unites biotechnological community in Central Europe. It covers all the news in the field of biotechnology. Thanks to the the portal the companies engaged in the field can easily search for research institutions and other partners to solve technical problems they are facing and here they can also present their services offer to potential partners from the Czech Republic and abroad. Gate2Biotech portal serves as a bridge connecting scientific and commercial sector. It incorporates offices and support organizations dedicated to promoting transfer of innovative technologies into a unified communication platform of Czech and international biotechnologies. As a mediator of information it draws attention to biotechnologies and support of their application and transfer into practice. It also functions as a tool for encouraging non-professionals (especially scientists and students) towards innovative business or applied research.


    Hospital & Healthcare Management

    Supporters
    https://www.hhmglobal.com/media-pack



    Technology Networks

    Supporters
    http://go.technologynetworks.com/subscribe-to-newsletters

    Founded in 2000, Technology Networks is established as the leading news provider for life science and drug discovery professionals. In addition, we provide unique content including webcasts, videos, application notes and posters from recent conferences. Our portfolio now includes around 30 focussed scientific communities, all of which are accessible free of charge within TechnologyNetworks.com


    pharmaphorum

    Supporters
    http://www.pharmaphorum.com

    pharmaphorum drives innovation within the pharmaceutical industry, by bringing healthcare together through a suite of media services that help produce and disseminate thought leadership, combined with an online platform for communicating messages to a global audience.Visit www.pharmaphorum.com


    Select Science

    Supporters
    http://www.selectscience.net/

    SelectScience is an independent, online information resource for the worldwide scientific community, and the home of trusted information for laboratory scientists. Discover impartial, expert opinion and trusted reviews about latest laboratory equipment and techniques; plus videos, application notes and science news from around the world. Become a member for free today.


    pharmanews hq

    Supporters
    http://http://pharmanewshq.com

    MedChemNet provides a unique and unparalleled platform for the medicinal chemistry community to share insights, discuss the latest research, and help move the field forward. MedChemNet covers all aspects of the drug discovery pipeline, from target identification and validation, through computer aided drug design (CADD), synthesis, screening and other biophysical techniques, to development of novel lead compounds and pre-clinical in vivo proof of concept. We also cover the design of synthetic drug delivery carriers and ADME/toxicology studies, as well as intellectual property and economic related issues. Website: Welcome to Pharma News HQ, the journal dedicated to the pharmaceutical and biopharmaceutical contract services. With regular sections on contract manufacturing, contract research, contract packaging, formulation/development services, contract analytical testing, APIs, stability testing, clinical research and other areas, we bring the most complete coverage of trends and issues in the industry. Pharmanewshq.com is the only website focusing specifically on issues relevant to pharmaceutical professionals working with technology, be it development, engineering, IT or production.


    Drug Discovery Today

    Supporters
    http://www.drugdiscoverytoday.com/

    Drug Discovery Today covers the whole of the preclinical drug discovery process. The reviews are cutting edge, written by experts in their respective fields and cover all aspects of drug discovery from genomic and proteomic approaches, computational drug design, medicinal chemistry and the translation of these sciences to therapies.


    Pharmalicensing

    Supporters
    http://www.pharmalicensing.com

    Pharmalicensing (www.pharmalicensing.com) is the premier biopharmaceutical Open Innovation resource designed for professionals involved with partnering, licensing and business development worldwide. Actively supporting all forms of partnering and in- and out-licensing activities, Pharmalicensing utilizes the unique online Showcase Profiling & Discover services, as well as its renowned Partnering Search service leveraging its global network of industry experts, to enable companies to identify and engage with appropriate partners around the world. Pharmalicensing is actively utilized by many tens of thousands of industry professionals each month. Pharmalicensing is a division of Cognis Group, Inc.


    Pharmaceutical Technology

    Supporters
    http://www.pharmaceutical-technology.com

    Pharmaceutical-technology.com is the only website focusing specifically on issues relevant to pharmaceutical professionals working with technology, be it development, engineering, IT or production. Pharmaceutical-technology.com brings you the latest in industry projects and updates, along with the news, views and trends that leading professionals – from senior executives to manufacturing managers and heads of procurement – require to stay on top of their field.

    SAVE TO


    Outlook Calendar  OUTLOOK CALENDAR
    Google Calendar  GOOGLE CALENDAR
    ICal Calendar  ICAL CALENDAR
    Yahoo! Calendar  YAHOO! CALENDAR

    Venue To Be Confirmed

    London
    United Kingdom

    Venue To Be Confirmed

    HOTEL BOOKING FORM

    Title

    SubTitle
    speaker image

    Content


    Title


    Description

    Download


    WHAT IS CPD?

    CPD stands for Continuing Professional Development’. It is essentially a philosophy, which maintains that in order to be effective, learning should be organised and structured. The most common definition is:

    ‘A commitment to structured skills and knowledge enhancement for Personal or Professional competence’

    CPD is a common requirement of individual membership with professional bodies and Institutes. Increasingly, employers also expect their staff to undertake regular CPD activities.

    Undertaken over a period of time, CPD ensures that educational qualifications do not become obsolete, and allows for best practice and professional standards to be upheld.

    CPD can be undertaken through a variety of learning activities including instructor led training courses, seminars and conferences, e:learning modules or structured reading.

    CPD AND PROFESSIONAL INSTITUTES

    There are approximately 470 institutes in the UK across all industry sectors, with a collective membership of circa 4 million professionals, and they all expect their members to undertake CPD.

    For some institutes undertaking CPD is mandatory e.g. accountancy and law, and linked to a licence to practice, for others it’s obligatory. By ensuring that their members undertake CPD, the professional bodies seek to ensure that professional standards, legislative awareness and ethical practices are maintained.

    CPD Schemes often run over the period of a year and the institutes generally provide online tools for their members to record and reflect on their CPD activities.

    TYPICAL CPD SCHEMES AND RECORDING OF CPD (CPD points and hours)

    Professional bodies and Institutes CPD schemes are either structured as ‘Input’ or ‘Output’ based.

    ‘Input’ based schemes list a precise number of CPD hours that individuals must achieve within a given time period. These schemes can also use different ‘currencies’ such as points, merits, units or credits, where an individual must accumulate the number required. These currencies are usually based on time i.e. 1 CPD point = 1 hour of learning.

    ‘Output’ based schemes are learner centred. They require individuals to set learning goals that align to professional competencies, or personal development objectives. These schemes also list different ways to achieve the learning goals e.g. training courses, seminars or e:learning, which enables an individual to complete their CPD through their preferred mode of learning.

    The majority of Input and Output based schemes actively encourage individuals to seek appropriate CPD activities independently.

    As a formal provider of CPD certified activities, SMI Group can provide an indication of the learning benefit gained and the typical completion. However, it is ultimately the responsibility of the delegate to evaluate their learning, and record it correctly in line with their professional body’s or employers requirements.

    GLOBAL CPD

    Increasingly, international and emerging markets are ‘professionalising’ their workforces and looking to the UK to benchmark educational standards. The undertaking of CPD is now increasingly expected of any individual employed within today’s global marketplace.

    CPD Certificates

    We can provide a certificate for all our accredited events. To request a CPD certificate for a conference , workshop, master classes you have attended please email events@smi-online.co.uk

    Event Title

    Headline

    Text
    Read More

    I would like to speak at an event

    I would like to attend an event

    I would like to sponsor/exhibit at an event

    SIGN UP OR LOGIN

    Sign up
    Forgotten Password?

    Contact SMi GROUP LTD

    UK Office
    Opening Hours: 9.00 - 17.30 (local time)
    SMi Group Ltd, 1 Westminster Bridge Road, London, SE1 7XW, United Kingdom
    Tel: +44 (0) 20 7827 6000 Fax: +44 (0) 20 7827 6001
    Website: http://www.smi-online.co.uk Email: events@smi-online.co.uk
    Registered in England No: 3779287 VAT No: GB 976 2951 71




    Forgotten Password

    Please enter the email address you registered with. We will email you a new password.

    Thank you for visiting our event

    If you would like to receive further information about our events, please fill out the information below.

    By ticking above you are consenting to receive information by email from SMi.
    Full details of our privacy policy can be found here https://www.smi-online.co.uk/privacy-legals/privacy-policy/.
    Should you wish to update your contact preferences at any time you can contact us at data@smi-online.co.uk.
    Should you wish to be removed from any future mailing lists please click on the following link http://www.smi-online.co.uk/opt-out