CDT Doctoral Researchers

2024 cohort

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Melina Müller

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

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Artur Miralles Méharon

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

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Bianca Branco

Predicting Heterogeneity in Depression Across the Life-Course

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Zhijie Yao

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

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Jamie Davies

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

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Núria Fàbrega Ribas

Mining the Multi-Omic Literature

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Rodrigo Lara Molina

Robust experimental design with an antibiotic resistance model

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Emilia Agasi

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

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Rishi Ramessur

Reliable Vision-Language Models for Healthcare Applications

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Binjie Chen

Engineering enzyme replacement therapies for Mucopolysaccharidosis Type IVA