Browse our 2024 cohort student profiles below. Melina Müller ResearchData-driven model-based control of neural dynamics to restore function in human neurological conditionsSupervisorsNina Kudryashova, Matthias Hennig I am excited that my project aids neuroscience research by developing closed-loop stimulation frameworks that provide the causal insights needed to advance both our understanding of the brain and real-world neural devices. My Website Emilia Agasi ResearchNetwork-based multimodal AI approaches to address heterogeneity in ovarian cancerSupervisorsIan Simpson, Charlie Gourley Bianca Branco ResearchPredicting Heterogeneity in Depression Across the Life-CourseSupervisorsAlex Kwong, Heather Whalley, Peggy SerièsStudentship in partnership with Mental Health Platform I'm interested in how machine learning can help improve our understanding of mental illness. My Website Rishi Ramessur ResearchReliable Vision-Language Models for Healthcare ApplicationsSupervisorsSteven McDonagh, Sotirios Tsaftaris Elisa Castagnari ResearchImproving digital healthcare solutions with data interoperability and large language modelsSupervisorsIan Simpson, Ole Eigenbrod, Pinar WennerbergStudentship in partnership with Roche I’m especially excited about making real‑world clinical data easier to link and interpret reliably, so that AI tools and research studies can be both more accurate and fair. Artur Miralles Méharon ResearchMultimodal ML for stratifying people with Myalgic Encephalomyelitis using data from the Visible app and the DecodeME genetics projectSupervisorsChris Ponting, Sjoerd BeentjesStudentship in partnership with PrecisionLife Núria Fàbrega Ribas ResearchMining the Multi-Omic LiteratureSupervisorsIan Simpson, Kenny Baillie I enjoy building tools that reduce the manual burden on scientists, allowing them to focus on discovery rather than repetitive work. I am excited by the opportunities that advances in AI create for tackling these challenges. In my PhD, I develop AI systems to identify biological experiments that can be meaningfully compared or combined, helping researchers make better use of existing biomedical data. Binjie Chen ResearchEngineering enzyme replacement therapies for Mucopolysaccharidosis Type IVASupervisorsGiovanni Stracquadanio, Eve Miller-Hodges Jamie Davies ResearchSelf-supervised Learning for Cardiac MRI: Fast Image Reconstruction and PrescriptionSupervisorsMehrdad Yaghoobi, Lucy Kershaw What excites me most about my research is the opportunity to work on a real problem that affects people's lives, knowing that my work may contribute to making a meaningful difference. Rodrigo Lara Molina ResearchRobust experimental design with an antibiotic resistance modelSupervisorsMichael Gutmann, Andrea Weisse My career goal now is to make healthcare more accessible and efficient through statistics and AI. My Website This article was published on Friday 6 March 2026
