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 |