Select Page

Summer School Schedule

Tuesday 11 June

Registration: Tuesday 11th June 8:00 – 9:00am 

Time 

Topic 

Speaker 

09:00-10:30 

Machine learning for healthcare and biology 

Mihaela van der Schaar (University of Cambridge) 

10:30-11:00  

Break 

 

11:00-12:30 

Introduction to Gaussian processes 

ST John (Finnish Center for Artificial Intelligence, Aalto University) 

12:30-13:30  

Break

 

13:30-15:00 

Deep generative models

Jose-Miguel Hernández-Lobato (University of Cambridge) 

15:00-15:30 

Break 

 

15:30-17:00 

Causality: From Statistics to Foundation Models

Cheng Zhang (Microsoft Research)

18.00-21.00    Networking Dinner – 18.00 arrival for 18.30 service.

If you’ve registered for the network dinner, the venue is The Wharf (6 Slate Wharf, Manchester M15 4ST). The assembly point is outside the summer school building (Schuster Building) at 5:30pm for the people who would like to walk together to the venue.  

Wednesday 12 June

Time

Topic

Speaker

09:00-10.30

Machine Learning for Healthcare

Danielle Belgrave (GSK) 

10:30-11:00

Break

 

11:00-12:30 

Machine Learning for Computational Phenomics and In-Silico Trials

Alex Frangi (The University of Manchester)

12:30-13:30

Break 

 

13:30-14:30 

Causality & Generative Models

Fabio De Sousa Ribeiro (Imperial College London)

14:30-15:30 

Break

 

15:30-17:00

Machine learning for therapeutic development

Dennis Wang (Imperial College London and A*STAR Singapore Institute for Clinical Sciences) 

17.15-19:00

Poster session in the Schuster Building Foyer

Thursday 13 June

Time 

Topic 

Speaker 

09:00-10:30 

Machine Learning Applications in Drug Development

Tom Diethe (AstraZeneca)

10:30-11:00  

Break 

 

11:00-12:30 

Causality-inspired generative modelling for single-cell genomics

Hananeh Aliee (Sanger Institute)

12:30-13:30  

Break 

 

13:30-15:00 

Machine learning for genomics

Luisa Cutillo (University of Leeds) 

15:00-15:30 

Break 

 

15:30-17:00 

Sequence-based modelling

Julien Gagneur (Technical University of Munich)