Mary Chriselda Antony Oliver
Mary Chriselda Antony Oliver is an HDR UK Turing PhD student at the Department of Applied Mathematics and Theoretical Physics (DAMTP). She is interested in the joint application of optimal transport and machine learning to infer donor phenotypes and disease progression from full blood counts and hospitalized data.
Prior to her PhD, she completed her MSc in Mathematics at the University of Leeds with research interests revolving around the integration of finite element methods through numerical analysis for computationally complex fluid dynamics. She also leveraged her research expertise in advanced mathematical biology by working at the Max Planck Institute of Evolutionary Biology, Plön, Germany to model the parasite dynamics in a heterogeneous host population with symbiont-mediated immunity. Following this, she joined the Nuffield Department of Medicine, University of Oxford to investigate the cost-effectiveness of surveillance for the elimination of lymphatic filariasis in low-income countries.