David Fan

RESEARCH ENGINEER | NEW YORK CITY, UNITED STATES

David is a research engineer at Meta Fundamental AI Research (FAIR) in NYC with the JEPA team. Previously, he was a Applied Scientist at Amazon Prime Video and earned his B.S.E in Computer Science from Princeton University. David's current research aims to learn human-level perception, planning, and reasoning from observing and interacting with the visual world.

Personal Website

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Research Areas

Computer Vision

Core Machine Learning

Robotics

David's Work

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Scaling Language-Free Visual Representation Learning

David's Publications

June 11, 2025

ROBOTICS

RESEARCH

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas

June 11, 2025