Mélanie Roschewitz (née Bernhardt)
Scholar

Mélanie Roschewitz (née Bernhardt)

Google Scholar ID: cLhie60AAAAJ
ETH Zürich
Safe AI for healthMachine LearningMedical ImagingComputer VisionHealthcare
Citations & Impact
All-time
Citations
538
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)