All available places are currently taken!

We are now fully booked and our waitlist is also too long: we will not be able to free up enough places for the names already on there. 
 

After three successful events between 2023 and 2025, the ELLIS Society has approved our fourth summer school on Machine Learning for Healthcare and Biology. 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. Participants will also have an opportunity to showcase their work at our research poster session.

*Attendees are expected to have some foundational knowledge/experience of machine learning and experience of coding.*

Whilst some details may yet need slight amendments, the summer school programme is available here. To get a sense of the kinds of sessions we will have, please have a look over our recordings from previous years.
 

Speakers confirmed so far:

Chris Barnes, University College London and National Physical Laboratory: Using DNA language models to design and construct plasmids for engineering biology

Sokratia Georgaka, The University of Manchester: Transformers and LLMs for biological data

Mobarak Hoque, The University of Manchester: Safety-Aligned Agentic AI for Clinical Decision Support

Huiqui Yvonne Lu, University of Oxford: AI, Healthcare, and Computing Systems: From Data to Distributed Intelligence

Raphaëlle Luisier, University of Bern: RNA in Wonderland: Charting new frontiers using AI for biological data

Raghav Mehta, Imperial College London: Title TBC

Goran Nenadic, The University of Manchester: Real-world validation of healthcare LLMs

Bartek Papiez, University of Oxford: Language and Vision in Healthcare: From Predictions to Explanations

Caroline Roney, Queen Mary University of London: Title TBC

Ewa Szczurek, Helmholtz Munich: Controllable generative AI for antimicrobial peptide design
Chris Tomlinson, UCL: Foundation models of electronic health records

Caroline Weis, GSK: AI4Science at GSK

Summer School Organisers:
Mauricio A Álvarez

Chen Chen

Jason Hartford

Magnus Rattray
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ELLIS Manchester Summer School Scholarship - currently closed to new applications

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 able to offer “ELLIS Manchester Scholarships”, aimed at providing financial assistance to applicants from a minority group facing economic hardships during their research pursuits.

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This scholarship means that successful candidates can receive funding from The University of Manchester to cover the registration fee and accommodation for the 2026 summer school. Please note: you will need to cover other costs including travel, visas etc from other funds. The scholarship is a first-come first-served basis and will be provided on merit following review by the summer school organisers. Full details can be found here. 

Please note: at the moment, all funding has been allocated and we will not be able to respond to new enquiries.