Ebrahim Pichka

I am currently an Applied Scientist at Thumbtack working on ML and causal modeling for marketplace intelligence and supply-side growth. Prior to my current role I worked as a Data Scientist at OpenHouse.ai. I obtained my MASc in Industrial Engineering from the University of Windsor.

Outside of work, my research interests primarily cover a broad range of topics in machine learning and optimization in both applied and theoretical settings. To mention a few: Graph representation learning, and deep learning on graphs, Deep reinforcement learning and sequential decision-making, Combinatorial optimization and operations research, Learning to optimize & Decision-focused learning.

Beyond these specific topics, I maintain a strong interest in the foundations of AI, keeping a close eye on advances in optimization techniques, learning dynamics, meta-learning, and multi-task learning.