9 February 2027

Big Data IV: breakthroughs in drug discovery with AI

Organised by:

SCI, London, UK

Prices start from £80.00

Early bird offer ends 12 January 2027

Synopsis

Big Data is the process of analysing high volume, high velocity data by advanced computational methods that produce actionable knowledge. A system that suggests actions to a user is one definition of Artificial Intelligence (AI). These approaches have thrown up surprising, often counter-intuitive results, and led to much wider uptake of AI technologies. Since the last meeting in February 2024, much has happened in chemical industries with whole companies spawned around the use of AI to achieve breakthroughs. The pharmaceutical industry has two big problems i) well validated biological targets and ii) quality chemical start matter (hits) to optimise into drugs. In the fourth event in this series, the presenters will update on what is working for chemistry to address these two issues and what is not.

Attendees

This conference is intended to be a high-level overview of the state of the art in the field for chemists interested in learning more, and for decision makers who want an update on what is going on (as opposed to an in-depth conference by and for technical specialists). The previous meetings attracted a well-informed audience that was open to discussion and debate. This event will be of interest to a wide range of scientific disciplines including project leaders, VPs and Directors of Medicinal, Agrochemical, Materials and Computational Chemistry. Technical experts in the field who want a broad update and to contribute to a vibrant meeting and discussion are also welcome.

Programme

Tuesday 9 February 2027

09.20: Registration and refreshments
09.50: Welcome and introduction
10.00: Plenary speaker
Tudor Oprea, Drug Hunter
10.40: Generating, Scoring, Learning: Lessons from applying AI to real drug projects
Kathryn Giblin, AstraZeneca
11.20: Refreshment break
11.40: The best model for your targets isn't trained on your data alone
Robin Roehm, Apheris
12.20: Using AI to accelerate better science - learnings from massive scale FBDD and SBDD programs ASAP and OpenBind
Ed Griffen, MedChemica Ltd / OpenBind Consortium
13.00: Lunch
14.00: From cofolding to compound: Turning predicted structures into projects worth pursuing?
Geoffrey Smith, Boltz
14.40: Chris Radoux, Recursion
15.20: Refreshment break
15.40: James Lumley, GSK
16.30: From AI models to AI-native discovery: Turning data, models and scientific workflows into better decisions
Anne Mai Wassermann, Johnson & Johnson
17.20: Closing remarks

Sponsorship and exhibition information

Please see the sponsorship pack and email conferences@soci.org to let us know which package you are interested in.

Accessibility Grants

SCI accessibility grants are available to support SCI members with disabilities, long term health conditions, those who require a carer, and members who are nursing parents to attend SCI events. Download an application form to apply for a grant.

Venue and Contact

SCI

14/15 Belgrave Square
London
SW1X 8PS

Conference Team

Tel: +44 (0)20 7598 1561

Email: conferences@soci.org

Fees

Early bird ends Tuesday 12 January 2027
SCI Member - £80
Non-member - £155
Student Member - £55
*SCI Member unemployed - £93

After early bird
SCI Member - £120
Non-member - £195
Student Member - £85
*SCI Member unemployed - £117

*Please contact conferences@soci.org to request the relevant voucher code.

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

Booking terms and conditions

CPD Info

All delegates attending this meeting are able to claim CPD points.

Organising committee

Stephen Atkinson, AstraZeneca
Al Dossetter, MedChemica Limited
Antonio Misale, J & J
Pascal Savy, Isomorphic Labs
Jason Tierney, Top Tier Consultancy