David Gamarnik

David Gamarnik is a Professor of Operations Research at the Operations Research and Statistics Group within the Sloan School of Management at the Massachusetts Institute of Technology (MIT). He holds a PhD in operations research from MIT (1998) and a BA in mathematics from New York University (1993). Prior to joining MIT in 2005, he was a research staff member at IBM T.J. Watson Research Center.

• Research Interests: Discrete probability, optimization and algorithms, quantum computing, statistics, machine learning, and stochastic processes.

His recent work focuses on algorithmic obstructions in random structures, quantum optimization, and high-dimensional statistical models. He has contributed to understanding the overlap gap property in combinatorial problems and the performance of gradient descent in neural networks.

Scientific Awards:

• Fellow of the Institute for Mathematical Statistics (IMS)
• Fellow of the Institute for Operations Research and Management Science (INFORMS)
• Fellow of the American Mathematical Society (AMS)
• Erlang Prize
• Best Publication Award from the Applied Probability Society of INFORMS
• Franz Edelman Prize competition finalist

He currently serves as an area editor for Mathematics of Operations Research and has previously held editorial roles in Operations Research, Annals of Applied Probability, Queueing Systems, and Stochastic Systems journals.