Scholar
Linus Bleistein
Google Scholar ID: N5js_UkAAAAJ
PhD candidate, Inria Paris, UEVE
Citations & Impact
Citations
32
H-index
4
i10-index
1
Publications
7
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Successfully obtained a post-doctoral fellowship from the EPFL AI Center in 2025. Successfully defended his PhD dissertation in June 2025. Published a preprint on optimal transport with heterogeneously missing data in March 2025. Published a preprint on perturbation response prediction in March 2025. Started a complementary diploma (diplôme universitaire) on Therapeutical Innovations in Oncology at Institut Gustave Roussy in January 2025.
Research Experience
- Fall 2025 - : Post-doctoral researcher at EPFL working with Charlotte Bunne and Bart Deplancke. 2025: Post-doctoral researcher at Inria Montpellier and Université Dauphine - PSL. 2024: Research intern at Owkin. 2025: Complementary diploma in precision oncology at Institut Gustave Roussy (IGR, Paris).
Education
- 2021 - 2025: PhD student at Inria Paris, supervised by Agathe Guilloux (Inria Paris) and Anne-Sophie Jannot (Inria Paris, AP-HP). 2016 - 2021: Student at Ecole Normale Supérieure (Paris) and Sorbonne University (Paris) in mathematics, economics, and computer science.
Background
- Research interests span dynamical systems, meta-learning, and learning theory. Particularly interested in problems at the intersection of healthcare and trustworthy ML, and more generally in the implications of algorithmic decision making in medicine. Increasingly concerned by the ecological burden of modern research and the international conference system. Involved for many years in the NeurIPS in Paris initiative.
Miscellany
- Long-term involvement in the NeurIPS in Paris initiative to push for a more sustainable research system.
