Projects

Designing RL agents that learn to navigate the complex landscapes of Combinatorial Optimization.

Decarbonizing the energy sector by solving complex Unit Commitment and infrastructure problems.

Tackling core challenges in RL such as temporal credit assignment, exploration, and scalability.

Developing theoretically grounded models for molecule and 3D generation.

AI for Drug Discovery, Transcriptomics, and Biological Interaction decoding.

Scaling Bayesian Optimization and Intrinsic Rewards to Large Language Models.