Vivek F. Farias


Vivek F. Farias

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Vivek is interested in the development of new methodologies and applications for large scale dynamic optimization.

 He received his PhD in electrical engineering from Stanford University in 2007 and is the Patrick J. McGovern (1959) Professor at MIT.

Vivek is a recipient of an INFORMS MSOM Student Paper Prize (2006), an INFORMS JFIG paper prize (2009, 2011), the NSF CAREER award (2011), MIT Sloan’s Outstanding Teacher award (2013), the INFORMS Simulation Society Best Publication Award (2014), the INFORMS Pricing and Revenue Management Best Publication Award (2015), the INFORMS MSOM Best Publication award in Management Science (2016), the MSOM Young Scholar Prize, and the MIT Jamieson Prize for Excellence in Teaching (2020). His practice-based work has won the Wagner prize (2022) and has been judged a finalist for the Pierskalla Award (2011), the Gary L. Lilien ISMS-MSI Marketing Practice Prize (2016), and the Wagner Prize (2018). Vivek’s doctoral advisees have on various occasions won the Nicholson, MSOM, APS and RMP student paper prizes. 

Outside of academia, Vivek was most recently cofounder/CTO at Celect (2014-19; acquired by Nike) and was a corresponding author of the Nature Communications paper underlying the technology at Seer (IPO in 2020). He serves on several technology startup advisory boards and has worked in various capacities in quantitive finance and private equity.



Farias and students win 2022 Wagner Prize

INFORMS honors Farias with Young Scholar Prize

Farias wins teaching award

Farias wins 2020 Jamieson Prize

Farias' Paper a finalist for Wagner Prize

Vivek Farias paper awarded

Vivek Farias paper honored

Vivek Farias and Tavneet Suri have each received funding from the Solomon Buchsbaum Research Fund


"Optimistic Gittins Indices."

Farias, Vivek F., and Eli Gutin. Operations Research. Forthcoming.

"Fair Exploration via Axiomatic Bargaining."

Jackie Baek, and Vivek F. Farias. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems, San Diego, CA: December 2021.

"​Learning Treatment Effects with General Intervention Patterns."

Vivek Farias, Andrew Li, and Tianyi Peng. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems, San Diego, CA: December 2021.

"Near-Optimal Entry-wise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise."

Vivek F. Farias, Andrew A. Li, and Tianyi Peng. In Proceedings of the Thirty Eighth International Conference on Machine Learning, edited by Marina Meila and Tong Zhang. Virtual: July 2021. Appendices.

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