Summer School Schedule
Wednesday 14 June
Registration (refreshments provided): Wednesday 14th 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 |
Topological deep learning |
Theodore Papamarkou (University of Manchester) |
15:00-15:30 |
Break |
|
15:30-17:00 |
Deep generative models |
Jose-Miguel Hernández (University of Cambridge) |
Thursday 15 June
Time |
Topic |
Speaker |
09:00-10:30 |
Causal inference and prediction in healthcare |
Matthew Sperrin (University of Manchester) |
10:30-11:00 |
Break |
|
11:00-12:30 |
Causal machine learning I |
Virginia Aglietti (DeepMind) |
12:30-13:30 |
Break |
|
13:30-14:30 |
Computational Precision Medicine for precision medicine & medical devices |
Alex Frangi (University of Leeds) |
14:30-15:30 |
Break |
|
15:30-17:00 |
Bayesian causal ML in healthcare |
Javier González (Microsoft Research 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 event venue (Roscoe building) at 5:30pm for the people who would like to walk together to the venue.
Friday 16 June
Time |
Topic |
Speaker |
09:00-10:30 |
Machine Learning for Epigenomic Research and Beyond |
Gabriele Schweikert (University of Dundee) |
10:30-11:00 |
Break |
|
11:00-12:30 |
Single cell biology |
Luisa Cutillo (University of Leeds) |
12:30-13:30 |
Break |
|
13:30-15:00 |
Machine learning to understand health and disease using single-cell genomics |
Mo Lotfollahi (Technical University of Munich) |
15:00-15:30 |
Break |
|
15:30-17:00 |
ML for drug discovery |
Dennis Wang (Imperial College London and A*STAR Singapore Institute for Clinical Sciences) |