CV

Below is a brief outline of my CV. The full version can be found here: View Full CV

Research Experience

• Machine Learning Research Intern, Universtiy of Oxford (July 2022 - Sept. 2022).
  • Research intern in machine learning at Oxford University based in the Torr Vision Group (TVG). Here, I was supervised by Francisco Girbal Eiras and Prof. Philip H.S. Torr. Research focussed on verfied methods and knowlege distillation.
  • Our work can currently be found on ArXiV under the title `Faithful Knowledge Distillation’.
• Summer Mathematics Research Student, University of Durham (July 2019 - Sept. 2019).
  • Summer research Student supervised by Prof. Herbert Gangl. Here, we derived novel results relating integrals of polylogarithms to linear combinations of multiple zeta values (MZVs).

Education

• DPhil Machine Learning, University of Oxford (Oct. 2023 - Present)
  • Supervised by Prof. Philip H.S. Torr.
  • My research interests include geometrical and Bayesian methods and uncertainty quantification in ML.
• MSc Artificial Intelligence, Univeristy of Edinburgh (Sept.2022 - Aug. 2023).
  • Recieved the MSc Artifical Intelligence Class Prize.
• MMath Mathematics, University Of Durham (Oct. 2016 - July 2020).
  • Specialised in Pure Mathematics.
  • Recieved the John Crowther and Percy Heywood Prizes.