Initially trained in clinical medicine, I hold full board certification (France) in Anesthesia and Critical Care. I shifted my attention to methodological research in medicine after completing a Master of Public Health from Université Paris Descartes and a fellowship at McMaster University (Canada).
I am currently an Assistant Professor of Biostatistics (Université Paris Cité), and a researcher at CRESS — METHODS team. My scientific work focuses on developing and implementing statistical/machine learning methods for the personalization of medical interventions. My applied areas of interest include Critical Care, Nephrology, and Cardiology.
For more information about my work, please visit my website at https://fcgrolleau.github.io/
Research interests
- Statistical reinforcement learning
- Causal inference
- Personalized medicine
Links
Theses
Initiation of renal replacement therapy in patients with acute kidney injury: a precision medicine approach
Francois Grolleau
Promotion : 2019 - 2023
Supervisor.s : Raphaël Porcher
