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- Mark Earll, Data Science Project Lead, Syngenta, “Chemometric “Chemometric and Machine Learning applications at Syngenta”Syngenta”
- Colin Batchelor, The Royal Society of Chemistry, “Deep “Deep learning and chemical data”data”
- Dennis Wang, University of Sheffield, “ML “ML approaches for dissecting the pharmacological landscape of cancer populations”populations”
- Jonas Bostrom, Principal Scientist, AstraZeneca, “AI “AI and Automation in Drug Design, For Real”Real”
- Chris Holmes, Professor, Oxford and Alan Turing Institute, “Reproducible AI in health research”
- Al Dossetter, Medchemica Ltd, “Accelerating “Accelerating multiple medicinal chemistry projects using AI”AI”
- Lei Xie, Professor, CUNY, “Multi“Multi-scale drug action models”models”
In addition, we held multiple panel discussions and a series of short talks during an AI-themed breakout on the main conference day (March 13th).
Agenda for the workshop, speaker list, and slide decks (with speakers' permissions) have been archived.
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