21 July 2026

The Art of the Possible: Data, Digitalisation & AI in Practice Part III

Organised by:

SCI’s Data Digitalisation and AI Group

Online Webinar

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Prices start from £0

Synopsis
As AI and machine learning continue to evolve across the chemical and pharmaceutical industries, their range of applications is expanding rapidly, yet much of their potential remains largely untapped. From formulation design and process optimisation to predictive toxicology, materials discovery, and beyond, AI is beginning to influence an increasingly diverse set of scientific and operational domains. At the same time, vast areas of research and industrial practice remain underexplored, presenting opportunities for innovation, differentiation, and competitive advantage.

This third webinar in The Art of the Possible: Data, Digitalisation & AI in Practice series will seek to build on the foundations laid in the preceding sessions. In the run up to this year’s From Vision to Practice: Data Digitalisation & AI in Industry conference, this session will consider how organisations can identify high‑value opportunities, navigate uncertainty, and foster the conditions needed to unlock new applications.
Attendees
This webinar is designed for those at the early stages of their digital journey, while still offering valuable insights for anyone exploring the next step. It will be of interest to those in industry, academia, AI or any other technical area.
Speaker

James McDonagh

James is a computational scientist specialising in AI/ML driven molecular design and computational chemistry, with expertise spanning AI, chemical informatics, and cloud-based workflows. He has led interdisciplinary teams to develop novel methods and tools, resulting in publications, patents, and contributions to multiple chemical discovery programs across materials and drug discovery. James' current focus is on the applications of such tools to advance toxicology research and applications.

Programme

Tuesday 21 July 2026

12.00
Opening remarks
Professor Jeremy Frey, University of Southampton
12.05
AI and Machine Learning In Toxicology
James McDonagh, ApconiX
12.40
To be confirmed
13.15
Closing remarks
Professor Jeremy Frey, University of Southampton
13.20
Close
Fees
All registrations will automatically receive a confirmation within 24 hours of registering for the event. Should you not receive written confirmation of your booking, please email conferences@soci.org.

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Booking Process/Deadlines

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Contact

Conference Team

Tel: +44 (0)20 7598 1561

Email: conferences@soci.org

Organising committee
Jeremy Frey, University of Southampton
Sam Whitmarsh, CatSci