
Lada Adamic
Data Scientist
Data Science
Core Data Science (CDS) is a research and development team, working to improve Meta’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 Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily.
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 Meta 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 Meta offices in Menlo Park, New York, Washington D.C., London, and Tel Aviv.
Daniel Haimovich, Dima Karamshuk, Thomas Leeper, Evgeniy Riabenko, Milan Vojnovic
Sindhu Kiranmai Ernala, Moira Burke, Alex Leavitt, Nicole B. Ellison
Hadi Elzayn, Riccardo Colini Baldeschi, Brian Lan, Okke Schrijvers
Andrea Celli, Riccardo Colini Baldeschi, Christian Kroer, Eric Sodomka
Charlie Dickens, Justin Thaler, Daniel Ting
Ben Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman
Our open culture and diverse teams of experts, along with our emphasis on academic collaboration and sharing model, deliver a unique chance to grow as a researcher and engineer while directly contributing new ideas and technologies that impact experiences of billions of people around the world.