Employment

ML Research Intern, AI For Science, Microsoft (2024)

  • 4-month internship with the Machine-learned force field (MLFF) team
  • Made substantial contributions to the internal code-base for training MLFF models
  • Proposed and led a research project (details to be published in a peer-reviewed journal)

Machine Learning Specialist Consultant, Syvl (2023-2024)

  • 6 months contract
  • aided Syvl in their attempts to model risks posed to agricultural markets in the global south
  • created ML models to gain baseline measurements of farmland health, and changes therein due to climate change

Software and ML Engineer, 10x Team, Ocado Technology (2019-2021)

  • Developed real-time coordination and control systems for robotic swarms
  • Trained computer vision models for autonomous motion planning
  • Performed deep reinforcement learning for optimizing automated warehouse throughput and energy efficiency

ML Summer Intern, The Phoenix Partnership (TPP) (2018)

  • Applied NLP to doctors’ notes for pre-emptive detection of ovarian cancer
  • Developed models that outperformed GPs, now in production

Education

DPhil in Machine Learning for Chemistry, University of Oxford (2021-2026)

  • Funded by the EPA Cephalosporin Scholarship
  • Supervised by Prof. Volker Deringer
  • Research focus: Improving architectures and training methodologies for machine-learned force fields in molecular and materials settings
  • Applications: Battery material modelling, drug screening, and de novo materials discovery

MSc in Computer Science with Data Analytics, University of York (2020-2021)

  • Distinction, 82%
  • Thesis: Using interpretability methods to understand knowledge- and self-distillation processes in neural network training

MChem in Chemistry, University of Oxford (2015-2019)

  • First Class Honours
  • Placed 4th out of 180 overall in the year
  • Thesis: “Using spectroscopy to probe relaxation, decoherence, and localization of photoexcited states in π-conjugated polymers”

Awards and Honors

  • First place, Oxford Quant Challenge 2023, G-Research Hackathon
  • The EPA Cephalosporin Scholarship, Linacre College (2021-2025)
  • Runner-up prize for Physical and Theoretical Masters’ theses, Department of Chemistry (2019)
  • The Gibbs Prize for outstanding performance in final examinations, University of Oxford (2018)
  • The Downs Prize award, Jesus College (2018)
  • Open Scholarship from Jesus College (2016-2019)
  • 4x recipient of The Woodward Prize for Chemistry, Jesus College (2015-2019)