I am an Assistant Professor at the Machine Learning department of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), focusing on uncertainty estimation, reinforcement learning sample complexity, gflownets, and more generally in designing better "AI for science" tools.

I am actively recruiting highly motivated students! If you're interested in joining my group as a PhD student or Master's student, please fill out this form. No internships are available at the moment.

Research Topics

AI for Science Tools

Sample Efficient RL

Curriculum Learning

Uncertainty Estimation

Active Learning

Bayesian Optimization

GFlowNets

Probabilistic Modeling

News

• December 2024 - I gave a keynote talk titled "Advancing the Fourth Paradigm: Machine Learning Frameworks for Experimental Science" at the the MoroccoAI 2024 conference.
• November 2024 - I attended the CLIMB workshop, and the Domain adaption and related areas workshop at the Simon's institute, in University of California, Berkeley.
• October 2024 - I am co-organizing the NETYS 2025 conference in Rabat, Morocco, in May 2025.
• September 2024 - I joined MBZUAI as an Assistant Professor in the Machine Learning Department.

Overall, I am more interested in understanding (and therefore defining) intelligence, be it animal or artificial. Before this, I worked at TII as a Senior Researcher in 2024, obtained my PhD in 2023 from Mila and UdeM, under the supervision of Yoshua Bengio, interned in Google Brain in Paris in 2020 to work on hierarchical reinforcement learning. Prior to my PhD, I studied applied mathematics in Ecole Polytechnique and statistical learning in Ecole Normale Supérieure Paris-Saclay. I did research in game theory and operations research in IBM Research Singapore, and worked as a data scientist in Booking.com in Amsterdam.