Resume
Academic Achievements
- Recipient of the Google PhD fellowship in Health & Bioscience and the Imperial College President’s scholarship in 2024; Several papers accepted at TMLR, MICCAI 2025, and Medical Image Analysis.
Research Experience
- Worked as an Applied Researcher in the medical imaging team at Microsoft Research Cambridge (UK); Interned with the ML research team at Kheiron Medical Technologies from April to October 2022.
Education
- B.Sc. in Mathematics and a postgraduate diploma in Statistics from the University of Strasbourg (France); M.Sc. in Data Science from ETH Zurich, focusing on medical applications of machine learning; PhD from Imperial College London, advised by Prof. Ben Glocker, graduated July 2025.
Background
- Research interests: Safety, reliability, and fairness of AI systems for healthcare. Currently a postdoctoral fellow at the ETH AI Center, working with Profs. Julia Vogt and Michael Moor.