Homepage of Nicolas Stier-Moses

Short Bio

I am a Director at Meta and support the Core Data Science team. The work of the team leverages innovative research to drive impact to the products, infrastructure and processes at 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 pillars of Core Data Science. Prior to joining Meta, 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.

Links

Research: Publications and Working Papers

Presentations: Selected Presentations in Seminars and Conferences

Research page at Meta: https://research.fb.com/people/stier-nicolas/

Google scholar page: https://scholar.google.com/citations?user=0YPGwhgAAAAJ

DBLP page: http://dblp.uni-trier.de/pers/hd/m/Moses:Nicol=aacute=s_E=_Stier

SSRN page: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=336339

Linkedin page: https://www.linkedin.com/in/nicolas-stier-b37283/