The Department of Chemistry, University of Cambridge, invites you to attend its annual industry networking and showcase event:

Chemistry Networks 2019: Focus on AI and Machine Learning.

Chemistry Networks is an opportunity for scientists from academia and industry to discuss their latest research, discover overlapping interests and identify collaborative opportunities.

This year’s event will showcase some of the Department’s research expertise and existing collaborations with industry, with a special emphasis on AI, machine learning and computational chemistry. In addition to talks from academia, you will also hear from leaders in the field who are applying AI & machine-learning technologies to challenges within industry.

Beyond this theme, select presentations, from PhD students and postdocs and the networking poster session, will also give attendees a broader overview of the Department’s research capabilities.

Draft Agenda

12.45 Registration

13.20 Introduction; Yolande Cordeaux (Knowledge Transfer Facilitator)

13.30 Chemistry meets AI/ML (Welcome address; Robert Glen)

13:45 Using Molecular Initiating Events for Toxicity Screening; Jonathan Goodman (collaboration with Unilever)

14.10 The Healx Story: How AI, machine learning and partnerships are accelerating the discovery of new, rare disease treatments; Kate Hilyard, COO, Healx

14:35 Deep Learning for Gene Therapy; Lucy Colwell, (collaboration with Google Research)

15.00 Artificial Intelligence-Driven Drug Discovery; Grant Wishart, Head of CADD, Charles Rivers Laboratories (collaboration with Atomwise)

15.25 Refreshment break

15.45 Centres of Doctoral Training - AI for the Study of Environmental Risks; Alex Archibald, SynTech (Automated Chemical Synthesis Enabled by Digital Molecular Technologies); Matt Gaunt

16.10 PhD & Post-Doc "short pitches"

17.00 Industry Keynote - AI-assisted drug discovery: why, how & what?; Ian Churcher, SVP Drug Discovery, BenevolentAI

17:30 Poster Session & Networking Drinks Reception

19.00 Close

Registration is free of charge, although booking is essential.

For further information about the event and ways to connect with the department please contact their Knowledge Transfer Facilitator; Dr Yolande Cordeaux (email: yc265@cam.ac.uk)