Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
PhD thesis is available online, and publications can be found on his Google Scholar profile.
Research Experience
Worked on theoretical aspects of sequential decision making under uncertainty, optimal design of submarine optical fiber systems, deep learning applied to cancer research, software development for reinforcement learning research, among other topics. Current projects are related to large language models and reinforcement learning.
Education
Completed a PhD in reinforcement learning at the Scool team (formerly SequeL) of Inria Lille, France, under the supervision of Michal Valko and Emilie Kaufmann.
Background
A researcher and engineer in machine learning (ML) / artificial intelligence (AI), focusing on different aspects of decision making. Enjoys transforming knowledge into actionable solutions.
Miscellany
Besides research, interested in music, politics, philosophy, education, and learning random things.