Daniel Reichman

Daniel Reichman is an Assistant Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), with a PhD in Computer Science from the Weizmann Institute of Science (2014). He held postdoctoral positions at Cornell, UC Berkeley, and Princeton.

• Research Interests: Theoretical Computer Science, Machine Learning, Artificial Intelligence, Neural Networks, Discrete Mathematics, and Probability Theory.
• Key Article Trends: 2025 publications focus on monotone neural networks, computational complexity of linear regions, interactive proofs for bandits, and depth separations. Earlier work includes graph inoculation strategies, percolation theory, and algorithm design for contagious sets.

Scientific Contributions: Published in venues like Nature Human Behaviour, COLT, ISIT, and NeurIPS. Served as Area Chair for AISTATS (2023-2024) and PC Member for RANDOM (2021, 2023).