Our graduates and their projects from the 2020 cohort. Dr Leonardo Castorina Cohort 2020Thesis: Towards Efficient and Accessible Protein Design with Machine LearningSupervisors: Kartic Subr, Chris WoodThesis Awarded: 10.06.2025Socials: linkedin.com/in/leonardo-castorina Dr Filippo Corponi Cohort 2020Thesis: Clinically-Interpretable and Large-Scale Machine Learning to Monitor Mood Disorders with WearablesSupervisors: Stephen Lawrie, Heather Whalley, Antonio VergariThesis Awarded: 07.10.2024Socials: https://www.linkedin.com/in/filippocmc/ Dr Ella Davyson Cohort 2020Thesis: A Multi-Omic Investigation of Major Depressive Disorder and Antidepressant Exposure Supervisors: Andrew McIntosh, Riccardo Marioni, Mark AdamsThesis Awarded: 02.12.2025 Dr Justin Engelmann Cohort 2020Thesis: Machine learning for retinal image analysis Supervisors: Miguel O. Bernabeu, Amos StorkeyThesis Awarded: 19.08.2024Socials: linkedin.com/in/engelmann Dr Salvatore Esposito Cohort 2020Thesis: Novel Applications of Signed Distance Fields in 3D Reconstruction of Thin StructuresSupervisors: Arno Onken, Oisin Mac Aodha Thesis Awarded: 10.06.2025Socials: linkedin.com/in/salvatore-esposito95 Dr Rohan Gorantla Cohort 2020Thesis: Machine Learning in Drug Discovery: Advancing Protein-Ligand Binding Affinity PredictionsSupervisors: Antonia Mey, Andrea Weisse, Anthony BradleyThesis Awarded: 10.06.2025Socials: linkedin.com/in/rohangorantla Dr Olivier Labayle Pabet Cohort 2020Thesis: Integrating Functional Genomics and Semi-Parametric Estimation to IdentifyBinding Variants Likely Causal for Altering Human TraitsSupervisors: Ava Khamseh, Chris Ponting, Sjoerd BeentjesThesis Awarded: 04.03.2025Socials: linkedin.com/in/olivierlabayle This article was published on 2025-11-12
