Our graduates and their projects from the 2019 cohort. Dr Rayna Andreeva Cohort 2019Thesis: Metric magnitude and topological methods for machine learning and biomedical data analysisSupervisors: Rik Sarkar, Miguel O. Bernabeu LlinaresThesis Awarded: 10.06.2025Socials: Google Scholar Research Gate Linkedin Dr Nikitas Angeletos Chrysaitis Cohort 2019Thesis: Examining and extending Bayesian theories of autismSupervisors: Peggie Series, Stephen Lawrie, Renaud JardriThesis Awarded: 14.05.2025Socials: Google Scholar Research Gate Dr Matúš Falis Cohort 2019Thesis: Addressing concept sparsity in medical text with medical ontologiesSupervisors: Bea Alex, William Whiteley, Alexandra Birch-MayneThesis Awarded: 9.04.2025Socials: Google Scholar Linkedin Research Gate Dr Domas Linkevicius Cohort 2019Thesis: : Modelling heterogeneous biomolecular dynamics in neurons usingnonlinear mixed effects models and scientific machine learningSupervisors: David Sterratt, Angus Chadwick, Melanie StefanThesis Awarded: 14.08.2025Socials: Linkedin Research Gate Dr Evgenii Lobzaev Cohort 2019Thesis: : AI-driven design of enzyme replacement therapiesSupervisors: Giovanni Stracquadanio, Dominic CampopianoThesis Awarded: 05.09.2024Socials: Google Scholar Linkedin Research Gate Dr Michael Stam Cohort 2019Thesis: : Data-driven evaluation of designed proteins using structural features, machine learning and cell-free expression systemsSupervisors: Christopher Wood, Nadanai Laohakunakorn, Diego OyarzunThesis Awarded: 17.09.2024Socials: Linkedin Research Gate Dr Natalia Szlachetka Cohort 2019Thesis: Computational analysis of interactions between AMPA receptor and con-ikot-ikot conotoxinSupervisors: Jelena Baranovic, Christopher WoodThesis Awarded: 14.05.2025Socials: Linkedin This article was published on 2025-10-24
