Moore-Sloan Data Science Environment – Overview

New York University, the University of California, Berkeley and the University of Washington have launched a 5-year, $37.8 million, cross-institutional effort with support from the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation to harness the potential of data scientists and big data for basic research and scientific discovery. NYU competed nationally with fifteen leading universities in the field of data science for this prestigious award, and will receive $12.6 million for its data science enterprise through this initiative.

This bold new partnership—a coordinated, distributed experiment involving researchers at these three leading universities—hopes to establish models that will dramatically accelerate the data science revolution. While data science is already contributing to scientific discovery, substantial systemic changes need to be overcome to maximize its impact on academic research. This ambitious multi-institutional partnership will spur collaborations within and across the three campuses and other partners pursuing similar data-intensive science goals.

“This initiative isn’t just to ‘do’ science—it is to ‘change’ science. To that end, we have designed a set of programs and positions at NYU that will help scientists in the domains—for example, astronomy, psychology, and sociology—interact with scientists in the methods—applied mathematics, statistics, and computer science—to make both groups of scientists more capable and more successful.” – Prof. David Hogg, Moore-Sloan Data Science Environment.

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Executive Director:  Juliana Freire

Chair of Steering Committee:  Mik Laver

Principal Investigator:  Yann LeCun

Steering Committee:

Richard Bonneau, Computer Science and Biology
Kyle Cranmer, Physics (Chair: Reproducibility and Open Science Working Group)
Juliana Freire, Computer Science & Engineering (Chair: Reproducibility and Open Science Working Group)
David Hogg, Physics (Chair: Space Working Group)
Mik Laver, Politics (Chair: Careers Working Group)
Yann LeCun, Computer Science
Roy Lowrance, Center for Data Science
Laura Norén, MSDSE (Chair: Data Science Studies Working Group)
Foster Provost, Stern
Claudio Silva, Computer Science & Engineering (Chair: Software and Tools Working Group)
Eero Simoncelli, Center for Neural Science
David Sontag, Computer Science (Chair: Methods Working Group)
Arthur Spirling, Politics and Data Science (Chair: Education and Training Working Group)

Research Engineers:

Harish Doraiswamy
Stefan Karpinski
Andreas Müller
Heiko Müller
Remi Rampin

Data Science Fellows:

Pablo Barberá
Dan Cervone
Bruno Gonçalves
Daniela Huppenkothen
Andrea Jones-Rooy
Brenden Lake
Gilles Louppe
Brian McFee


Solon Barocas
Sunandan Chakraborty
Daniel Fernandez
Andrew Guess
Thomas Laetsch
Laura Norén

PhD Students:

Fernando Seabra Chirigati

Junior Data Scientists:

Vighnesh Nandan Birodkar
Jiaming Dong
Katrina Evtimova
Shwet Maroo
Jiyuan Qian
Manoj Kumar Sivaraj
Tian Wang
Ling Yang


Andrea Jones-Rooy
Vicky Steeves (NYU Libraries)

Program Manager:  Emily Mathis


Jean-Daniel Fekete
Zaid Harchaoui
Taisiya Kopytova