Negin Golrezaei is the KDD Career Development Professor in communications and technology, and assistant professor of operations management at the MIT Sloan School of Management. Her current research interests are in machine learning, statistical learning theory, mechanism design, and optimization algorithms, with applications to revenue management, pricing and online markets. Golrezaei is the recipient of several awards including the 2018 Google Faculty Research Award, the 2017 George B. Dantzig Dissertation Award, and the INFORMS Revenue Management. She earned a BS and MS in electrical engineering from the Sharif University of Technology, and a PhD in operations research from the University of Southern California.
- Golrezaei, N., Nazerzadeh, H., Randhawa, R. (2020). Dynamic Pricing for Customers with Time-Sensitive Valuations. Informs Manufacturing & Service Operations Management, Vol. 22, No. 3, pp, 429-643.
- Golrezaei, N., Javanmard, A., Mirrokni, V. (2020). Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions. Informs: Operations Research.
- Balseiro, S., Golrezaei, N., Mahdian, M., Mirrokni, V., Schneider, J. (2019). Contextualbandits with cross-learning. Advances in Neural Information Processing Systems (NeurIPS), pp. 9676 – 9685.
- Derakhshan, M., Golrezaei, N., Paes Leme, R. (2019). Lp-based Approximation for Personalized Reserve Prices. ACM Conference on Economics and Computation (EC), pp. 589 – 589.