Nicolas Stier

Co-Director of Core Data Science

I’m a Co-Director of Facebook Core Data Science (with Lada Adamic). Our work 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.


Market modeling and pricing, mechanism design, competitive networks, algorithmic game theory, operations research, operations management, data science, machine learning

Latest Publications

Tight approximation for the minimum bottleneck generalized matching problem

Julian Mestre, Nicolas Stier

Cocoon - August 22, 2020

Trajectory Optimization of Solar-Powered High-Altitude Long Endurance Aircraft

Jack Marriott, Birce Tezel, Zhang Liu, Nicolas Stier

ICCAR - April 20, 2020

Pacing Equilibrium in First-Price Auction Markets

Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Eric Sodomka, Nicolas Stier, Chris Wilkens

EC - June 26, 2019

Multiplicative Pacing Equilibria in Auction Markets

Vincent Conitzer, Christian Kroer, Eric Sodomka, Nicolas Stier

WINE 2018 - December 15, 2018