Dan holds a Master’s degree in Computer Science, specializing in Machine Learning, and a Bachelor’s degree in Electrical and Electronic Engineering, both from the Technion.
Dan has extensive hands-on industry experience in various machine-learning domains. Currently, Dan is pursuing my Ph.D., focusing on planning in robotics using financial algorithmic approaches.
His interests lie in artificial intelligence for sequential decision-making, particularly deep learning, reinforcement learning, and planning. He is particularly interested in the intersection between classical and learning-based methods.
