An Investigation of Memorization Risk in Healthcare Foundation Models

Lena Stempfle

Lena Stempfle is a postdoctoral associated with MIT CSAIL starting in the fall of 2025 with WASP International Postdoctoral Scholarship. She completed her PhD in Computer Science at Chalmers University of Technology in Sweden, where she was affilicated with the Healthy AI lab. Her research focuses on the intersection of machine learning and healthcare, with a particular interest in predictions with missing values at test time, time series, and causality. Lena’s aims to develop interpretable and accurate models to support clinical decision-making. Prior to her PhD, she completed a Master’s degree in Information Systems and Management at Karlsruhe Institute of Technology (KIT) in Germany.