ELLIS Summer School on Machine Learning for Healthcare and Biology

During the three-day event, graduate students and researchers will get the chance to discuss the latest research in these areas with leading machine learning scientists.

The school includes a set of lectures by renowned researchers at the intersection of ML and Healthcare and Biology, and with an excellent track record of delivering educational content.

A preliminary list of confirmed speakers includes:

• Mihaela van der Schaar (University of Cambridge)

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

• Theodore Papamarkou (The University of Manchester)

• José Miguel Hernández-Lobato (University of Cambridge)

• Danielle Belgrave (DeepMind)

• Virginia Aglietti (DeepMind)

• Matthew Sperrin (The University of Manchester)

• Javier González (Microsoft Research Cambridge)

• Gabriele Schweikert (University of Dundee)

• Luisa Cutillo (University of Leeds)

• Mo Lotfollahi (Technical University of Munich)

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

Organisers: Dr Mauricio Alvarez, Prof Magnus Rattray


Schedule

The ELLIS summer school 2023 schedule is already taking shape: Take a look here. 


Registration and further details

You'll find all the latest information and registration details on the school's website:
https://www.idsai.manchester.ac.uk/connect/events/ellis-summer-school-2023

Registration deadline is May 23, 2023. 


Following a call for the organization of summer/winter schools for the 2023 ELLIS PhD & Postdoc Program cycle, the ELLIS Unit in Manchester had been selected by the ELLIS PhD Committee to host one of the ELLIS Summer Schools in 2023.