After successful events in 2023 and 2024, we are hosting our third ELLIS Summer School on Machine Learning for Healthcare and Biology in June 2025.
As in previous years, this three-day event will bring participants up-to-speed on the latest methods and technologies in machine learning with a focus on healthcare and biology.
For 2025, alongside the usual talks from leading researchers, the summer school will also provide participants with hands-on experience via interactive live demonstrations.
The draft schedule is available here. Our confirmed speakers/demonstrators are as follows:
Chen (Cherise) Chen (University of Sheffield)
Luisa Cutillo (University of Leeds)
Jason Hartford (The University of Manchester)
José Miguel Hernández-Lobato (University of Cambridge)
Ava Khamseh (University of Edinburgh)
Emma Robinson (Kings College London)
Mingfei Sun (The University of Manchester)
Catalina Vallejos (University of Edinburgh)
Dennis Wang (Imperial)
David Wong (University of Leeds)
Hongpeng Zhou (The University of Manchester)
Summer School Organisers:
Mauricio A Álvarez
Magnus Rattray
For an idea of what you can expect from our summer school, have a look over the photos and videos from 2024 (below).
ELLIS Manchester Summer School Scholarship
ELLIS Manchester is committed to fostering diversity and inclusivity in research and acknowledges the financial challenges faced by researchers from economically disadvantaged backgrounds. To address this issue, we are pleased to announce our “ELLIS Manchester Scholarship”, aimed at providing financial assistance to applicants from a minority group facing economic hardships during their research pursuits.
For full details and information on how to apply, please see our explainer document.
Application deadline is 18th April 2025 but please apply early to ensure you can make other arrangements in time to attend.
Summer School recordings
ELLIS Manchester Summer School 2024
