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Nicolas Stier
Director, Core Data Science - Core Data Science
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DATA SCIENCE
ECONOMICS & COMPUTATION
MACHINE LEARNING
NETWORKING & CONNECTIVITY
SYSTEMS & INFRASTRUCTURE
I’m a Director at Facebook Core Data Science. The work of the team leverages innovative research to drive impact to the products, infrastructure and processes at Facebook, the company. We draw inspiration from a rich and diverse set of disciplines including Operations, Statistics, Economics, Mechanism Design, Machine Learning, Experimentation, Algorithms, and Computational Social Science (in no particular order). Between 2014 and 2017, I supported the Economics, Algorithms and Optimization team, which is one the areas of focus of Core Data Science.
Prior to coming to Facebook, I was an Associate Professor at the Decision, Risk and Operations Division of Columbia Business School and at the Business School of Universidad Torcuato Di Tella. I received a Ph.D. degree from the Operations Research Center of the Massachusetts Institute of Technology.
Interests
Market modeling and pricing, mechanism design, competitive networks, algorithmic game theory, operations research, operations management, data science, machine learning
Related Links
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Website
Core Data Science at Facebook
DBLP page
SSRN page
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Latest Publications
Management Science - September 30, 2021
Pacing Equilibrium in First Price Auction Markets
Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Nicolas Stier, Eric Sodomka, Christopher A. Wilkens
Cocoon - August 22, 2020
Tight approximation for the minimum bottleneck generalized matching problem
Julián Mestre, Nicolas Stier
ICCAR - April 20, 2020
Trajectory Optimization of Solar-Powered High-Altitude Long Endurance Aircraft
Jack Marriott, Birce Tezel, Zhang Liu, Nicolas Stier
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