
Core Data Science (CDS)
Advancing the frontiers of data science
About Core Data Science (CDS)
Core Data Science (CDS) is a research and development team, working to improve Facebook’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Facebook family of apps. The work we do enhances products that enable more than 1.5 billion people to communicate with each other, every day.
Core Data Science is interdisciplinary, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Facebook and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.
Engaging with the academic community is of key importance to our research group. We publish findings, host PhD students through our internship program, collaborate with professors and PhD students, and highlight open areas of interest through our request for research proposals.
Core Data Science researchers work from the Facebook offices in Menlo Park, New York, Washington D.C., London, and Tel Aviv.
Meet Our Team

Lada Adamic
Data Scientist
Data Science

Christine Agarwal
Data Scientist
Data Science, Natural Language Processing & Speech

Amine Allouah
Research Scientist
Artificial Intelligence, Data Science, Economics & Computation, Machine Learning

Kristen M. Altenburger
Research Scientist
Data Science, Machine Learning, Security & Privacy

Vashist Avadhanula
Research Scientist
Economics & Computation, Machine Learning

Amit Bahl
Data Scientist
Data Science, Machine Learning, Natural Language Processing & Speech

Michael Bailey
Research Scientist Manager
Economics & Computation

Eytan Bakshy
Research Manager
Data Science, Machine Learning

Max Balandat
Research Scientist
Artificial Intelligence, Data Science, Machine Learning
Videos
Latest Publications
All PublicationsMatching Algorithms for Blood Donation
Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
EC - December 23, 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang, Daniel Jiang, Max Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
NeurIPS - December 7, 2020
BOTORCH: A Framework for Efficient Monte-Carlo Bayesian Optimization
Max Balandat, Brian Karrer, Daniel Jiang, Sam Daulton, Ben Letham, Andrew Gordon Wilson, Eytan Bakshy
NeurIPS - December 7, 2020
The Ad Types Problem
Riccardo Colini Baldeschi, Julian Mestre, Okke Schrijvers, Christopher A. Wilkens
WINE - December 7, 2020
Latest News
All News

