2024 Cohort

Browse our 2024 cohort student profiles below.

Melina Müller

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Research

Data-driven model-based control of neural dynamics to restore function in human neurological conditions

Supervisors

Nina Kudryashova, Matthias Hennig

Bianca Branco

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Research

Predicting Heterogeneity in Depression Across the Life-Course

Supervisors

Heather Whalley, Professor Peggy Seriès

Jamie Davies

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Research

Self-supervised Learning for Cardiac MRI: Fast Image Reconstruction and Prescription

Supervisors

Mehrdad Yaghoobi, Lucy Kershaw 

Rodrigo Lara Molina

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Research

Robust experimental design with an antibiotic resistance model

Supervisors

Michael Gutmann, Andrea Weisse

Rishi Ramessur

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Research

Reliable Vision-Language Models for Healthcare Applications

Supervisors

Steven McDonagh, Sotirios Tsaftaris

Elisa Castagnari

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Research

Improving digital healthcare solutions with data interoperability and large language models

Supervisors

Ian Simpson, Ole Eigenbrod, Pinar Wennerberg
Studentship in partnership with Roche.

Artur Miralles Méharon

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Research

Multimodal ML for stratifying people with Myalgic Encephalomyelitis using data from the Visible app and the DecodeME genetics project

Supervisors

Chris Ponting, Sjoerd Beentjes

Zhijie Yao

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Research

Inferring cell state in disease progression from gene expression data using tractable deep probabilistic models

Supervisors

Linus Schumacher, Guillaume Blin

Núria Fàbrega Ribas

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Research

Mining the Multi-Omic Literature

Supervisors

Ian Simpson, Kenny Baillie

Emilia Agasi

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Research

Network-based multimodal AI approaches to address heterogeneity in ovarian cancer

Supervisors

Ian Simpson, Charlie Gourley

Binjie Chen

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Research

Engineering enzyme replacement therapies for Mucopolysaccharidosis Type IVA

Supervisors

Giovanni Stracquadanio, Eve Miller-Hodges