About
I'm a first-year DPhil (PhD) student, broadly interested in developing machine learning approaches to problems involving biomolecular structure.
Currently based in the Oxford Protein Informatics Group (OPIG) at the Department of Statistics, my research focuses on advancing in silico antibody
design using geometric generative models.
In this work, I am very fortunate to be supervised by Prof Charlotte Deane,
as well as Dr Frédéric Dreyer
and Dr Daniel Cutting at Exscientia.
In the past, I've tackled enzyme-substrate interaction prediction using protein language models, and also had a brief stint in theoretical chemical physics,
predicting quantum tunnelling splittings using classical molecular dynamics.
Check out the research and publications pages for more details.
As a hobby, I've occasionally dabbled in information-theoretic approaches to evolution, and game theory on graphs.
My DPhil work is generously funded by Oxford University's flagship
Clarendon Scholarship, alongside additional partnership awards by Oxford University, Balliol College, and Exscientia.
Throughout my BSc and MSc, I had the privilege to receive support from the
German Academic Scholarship Foundation.
Education
2023-2027
DPhil at the Department of Statistics (SABS:R3 CDT)
Balliol College, University of Oxford
2020-2023
MSc Computational Biology & Bioinformatics
ETH Zürich, Switzerland
2015-2018
BSc Biochemistry
Heidelberg University, Germany