Past event: AI in Drug Discovery 2023 Conference

Harnessing the power of machine learning to maximise investment in your drug development pipeline

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.

Benefits of Attending

  • DELVE into key industry research focuses, with talks on fragment-based selection, in silico drug design and personalised medicine from GSK, Bayer, Janssen Pharmaceuticals and more
  • INCREASE the diversity of your drug discovery programme with case studies in applying knowledge graphs, molecular dynamic simulations, and digital  twins throughout the development process
  • UTLISE breakthroughs in robotics, automation and quantum chemical methods alongside AI to drive the next generation of drug discovery
  • UNCOVER the role that international cooperation and open-source data played in the rapid development of Covid-19 treatments, and how this can be an example for the future of pharmaceutical R&D
  • LEARN how to implement AI and Machine Learning  techniques throughout the discovery pipeline from antigens and genomics to proteins and peptides

Who should attend

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


  • Alexander Hillisch, Vice President, Head of Computational Molecular Design, Bayer AG
  • Andreas Bender, Consultant, HealX
  • Chris Murray, SVP Discovery Technology, Astex Pharmaceuticals
  • Christos Varsakelis, Associate Director Artificial Intelligence/Machine Learning, Janssen Pharmaceuticals
  • Darren Green, Head of Cheminformatics & Data Science, Senior Felllow, GSK
  • Ed Addison, Chairman and CEO, Cloud Pharmaceuticals
  • Haruna Iwaoka, Senior Director, Astellas Pharma
  • Jag Heer, Director of Medicinal Chemistry, UCB
  • Jan Wenzel, Scientist Computational and Systems Toxicology, Sanofi-Aventis Deutschland GmbH
  • Jennifer Knight, Senior Principal Scientist, Schrodinger GmbH
  • Martin Akerman, Chief Technical Officer, Envisagenics
  • Martin-Immanuel Bittner, Co-Founder and CEO, Arctoris
  • Matthew Segall, Chief Executive Officer, Optibrium
  • Matthias Frech, Director Molecular Interactions and Biophysics, Merck KGaA
  • Paul Beroza, Distinguished Scientist, Genentech
  • Simone Fulle, Head of Molecular modelling & Design, Novo Nordisk A/S
  • Steve Gardner, CEO, PrecisionLife
  • Thierry Dorval, Head of Data Sciences & Data Management, Servier
  • Venkatesh Pilla Reddy, Director of Clinical Pharmacology and Pharmacometrics, Astrazeneca

Please fill in your name and email to receive the Conference Agenda of this event.


Copthorne Tara Hotel
Scarsdale Pl, Kensington, W8 5SY
London, UK

Event details
Organizer : SAE Media Group
Event type : Conference
Reference : ASDE-24046