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Department of Chemistry

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We'll be bringing together scientists from academia and industry at our annual networking and showcase event in September. This year, Chemistry Networks will focus on AI and machine learning.

Chemistry Networks is an opportunity for scientists from academia and industry to meet, 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, and there will be a special emphasis on AI, machine learning and computational chemistry.

There will be talks from both academics and leaders in the field who are applying AI & machine learning technologies to challenges in industry.

Beyond this, select presentations from students and researchers will give attendees a broader overview of the Department’s research capabilities.

Draft Agenda

13.00 Registration

13.20 Introduction: Yolande Cordeaux (Knowledge Transfer Facilitator)

13.30 Chemistry meets AI/ML (Welcome address, speaker to be confirmed)

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

14.10 The Healx Story: 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 Refreshments 

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

16.00 PhD projects with industry

17.00 Industry Keynote Address: Ian Churcher, SVP Drug Discovery, BenevolentAI

17:30 Poster Session & Networking Drinks Reception

19.00 Close

Would you like to attend? Registration is free of charge, although booking is essential. You can book here.

Industry delegates wishing to give an oral presentation or present a poster at the networking session are asked to indicate this in the registration form.

For further information about the event and ways to connect with the department please email Knowledge Transfer Facilitator Dr Yolande Cordeaux