2024 cohort
Melina Müller
Data-driven model-based control of neural dynamics to restore function in human neurological conditions
Artur Miralles Méharon
Multimodal ML for stratifying people with Myalgic Encephalomyelitis using data from the Visible app and the DecodeME genetics project
Bianca Branco
Predicting Heterogeneity in Depression Across the Life-Course
Zhijie Yao
Inferring cell state in disease progression from gene expression data using tractable deep probabilistic models
Jamie Davies
Self-supervised Learning for Cardiac MRI: Fast Image Reconstruction and Prescription
Núria Fàbrega Ribas
Mining the Multi-Omic Literature
Rodrigo Lara Molina
Robust experimental design with an antibiotic resistance model
Emilia Agasi
Network-based multimodal AI approaches to address heterogeneity in ovarian cancer
Rishi Ramessur
Reliable Vision-Language Models for Healthcare Applications
Binjie Chen
Engineering enzyme replacement therapies for Mucopolysaccharidosis Type IVA
Elisa Castagnari
Improving digital healthcare solutions with data interoperability and large language models
