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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 

Foundation Causal Models

Cheng Zhang (Microsoft Research)

15:00-15:30 

Break 

 

15:30-17:00 

Deep generative models 

Jose-Miguel Hernández-Lobato (University of Cambridge) 

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 (Simon 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 

Causal Machine Learning

Fabio De Souza-Riberio (Imperial College London)

14:30-15:30 

Break 

 

15:30-17:00 

ML for drug discovery 

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

Thursday 13 June

Time 

Topic 

Speaker 

09:00-10:30 

Machine Learning for Biology

Tom Diethe (AstraZeneca)

10:30-11:00  

Break 

 

11:00-12:30 

Single cell and spatial omics

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 

TBC

TBC