Vivek F. Farias

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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.

 

Honors

Vivek Farias paper awarded

Farias' Paper a finalist for Wagner Prize

INFORMS honors Farias with Young Scholar Prize

Vivek Farias paper honored

Farias wins 2020 Jamieson Prize

Farias and students win 2022 Wagner Prize

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

Farias wins teaching award

Publications

"Optimistic Gittins Indices."

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

"Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure."

Costa, Luis, Vivek F. Farias, Patricio Foncea, Jingyuan Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, Tianyi Peng, and Dusan Popovic. INFORMS Journal on Applied Analytics Vol. 53, No. 5 (2023): 336-349.

"Nonparametric Approximate Dynamic Programming via the Kernel Method."

Bhat, Nikhil, Vivek F. Farias, Ciamac Moallemi, and Andrew Zheng. Stochastic Systems Vol. 13, No. 3 (2023): 321-342.

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