AI for Drug Discovery Summer Symposium 2026
When: Wednesday, June 17, 2026, 9:30 AM - 4:00 PM
Where: Peston Lecture Theatre, Graduate Centre, Queen Mary University of London, Mile End
Book your place on Eventbrite The UKRI/BBSRC AI for Drug Discovery PhD Programme is holding its annual Summer Symposium. We invite you to join us for a day of talks and networking featuring a Keynote Talk, poster presentations, and talks from our current AI for Drug Discovery students. This is an exciting opportunity to learn more about the research ongoing in the AI for Drug Discovery programme, and to forge links with our network of staff, students, and industry partners.
The UKRI/BBSRC AI for Drug Discovery PhD Programme is led by Recursion, in partnership with Queen Mary, University of London, MSD, and Nxera Pharma. The programme aims to work at the interface, drawing on interdisciplinarity to revolutionise the drug discovery programme. By partnering with Industry experts, the programme aims to train students with the skills needed to become future research leaders in the AI for drug discovery space.
Book your place on Eventbrite
See further details on the Programme, and our current cohort on our website.
Agenda
10.00 Registry and Refreshments
10.30 Welcome and Introduction with Prof Conrad Bessant (QMUL)
10:40 Guest Speaker: Dr Matteo Cagiada, Oxford Protein Informatics Group
11:10 Break
11:30 Mining Higher- Order Triadic Interactions with Marta Niedostatek
11:50 Much Ado About Dynamics: Using Temporal Graphs to Explain Why, How and When Proteins Interact with Syed Zayyan Masud
12:10 Identifying Tractable Stromal Vulnerabilities in Pancreatic Cancer-Associated Fibroblasts to Restore Anti-Tumour Immunity with Constance Maurer
12:30 Multimodal Learning of Drug Mechanisms of Action Through Biological Networks and Perturbational Responses with Joy Efiannayi
1300 Lunch & Poster session in Graduate Centre Foyer
14:30 Guest Speaker - Dr Wei-Tse Hsu, Biggin Group, University of Oxford
15:00 Panel Discussion
An interactive discussion with speakers, researchers, and industry representatives on the opportunities and challenges shaping the future of AI for Drug Discovery.
15:50 - Wrap and close
**This is an in-person event only. We are not offering an online attendance option, as the programme has been designed to encourage discussion, collaboration, and networking among participants. Lunch will be provided with various dietary options.