Henrik Q von Kleist

Biography

Henrik von Kleist is a postdoctoral research fellow at CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. His research focuses on Active Feature Acquisition - AI systems that recommend which clinical tests to order to improve medical diagnosis or treatment. His work integrates causal inference, reinforcement learning, and semiparametric theory to enable reliable and efficient evaluation and optimization of such systems using observational clinical data. He completed his PhD at Helmholtz Munich and the Technical University of Munich.

Publications

• Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings

  Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi. Journal of Machine Learning Research 2026

• Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), PMLR 267

  Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr. Feature Importance Metrics in the Presence of Missing Data 2026

• Analysis of Missingness Scenarios for Observational Health Data

  Alireza Zamanian, Henrik von Kleist, Octavia-Andreea Ciora, Marta Piperno, Gino Lancho, Narges Ahmidi. Journal of Personalized Medicine 2026