Education

• PhD in Machine Learning for Astrophysics, University College London Centre for Doctoral Training in Data Intensive Science, 2022-2026

• MSci Physics with Theoretical Physics, Imperial College London, 2017-2021, First Class Honours

  • MSci project on Simulating Materials at Constant Pressure Using Homogeneous Coordinates

Experience

• 2024/05: Spring into Quant Finance Insights Week at G-Research

• 2023/05: Data Study Group Participant at The Alan Turing Institute

• 2023/01-05: Work experience, CDT Group project at The Guardian

• 2021/10-2022/08: Project collaborator at Yale Breast Medical Oncology Group

• 2020/06-09: Research placement at Imperial College London Astrophysics Group

• 2019/06-09: Research placement at TU Berlin Nonlinear Dynamics and Control and Applied Dynamical Systems Groups

Awards and Accomplishments

• Cosmology and Astroparticle Student and Postdoc Exchange Network (CASPEN) Grant
• G-Research Grant for early career researchers
• International Research Opportunities (IROP) Award at Imperial College London
• DAAD RISE Germany Scholarship
• 2018, 2019 Imperial College Department of Physics Dean’s List: total year results in the top 10 percent of the cohort