Machine Learning in
Science & Engineering

Virtual Conference: December 14 - 15, 2020

MLSE 2020 will feature the latest research in artificial intelligence and machine learning that are advancing science, engineering, and technology fields at large.

Through keynotes, conversations, demonstrations, and networking, this two day virtual conference will explore how data-driven approaches can help solve emerging challenges. MLSE 2020 will convene 11 tracks to highlight new research and innovation from a diverse range of disciplines. Learn More →

Register

Browse registration rates for professionals and students.

Sponsor

Consider supporting MLSE 2020 to unlock special offerings.

Experience

Learn how attendees will engage virtually throughout the conference.

Keynote Speakers

Featured
William Dally

Chief Scientist & Senior VP of Research, Nvidia; Professor-Research, Computer Science & Electrical Engineering, Stanford University
Barbara Engelhardt

Associate Professor, Department of Computer Science, Princeton University
David W. Hogg

Group Leader, Flatiron Institute; and Professor of Physics & Data Science, Department of Physics, New York University
Cynthia Rudin

Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science, Duke University 

Tracks &
Track Chairs

Click into each track to learn more about the session programs. Registered attendees will have access to the Attendee Portal on MLSE2020.com to view session URLs, discussion boards, affiliated research, and more.

To email the track chairs, click on their names.

MLSE 2020 Sponsors & DSI Industry Affiliates

MLSE 2020 is brought to you by The Data Science Institute at Columbia University. Thank you to DSI Industry Affiliates.

The MLSE 2020 Neuroscience Track is sponsored by the IEEE Brain Initiative: brain.ieee.org

MLSE 2020 is supported by an NSF TRIPODS+X award from the National Science Foundation.

The MLSE 2020 Chemistry Track is sponsored by the Department of Chemical Engineering, Northeastern University: che.northeastern.edu

Calico Life Sciences joins as an MLSE 2020 sponsor: calicolabs.com

Receive brand recognition, introduction services, and recruiting capabilities to 1000+ attendees: Explore sponsorships.

 MLSE 2020 Conference Chairs:

  • Jeannette M. Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science, Columbia University

  • Qiang Du, Fu Foundation Professor of Applied Mathematics, Department of Applied Physics and Applied Mathematics, Columbia Engineering (SEAS)

Thank you to prior MLSE Conference Chairs:

  • Dana Randall, Co-Executive Director of the Institute for Data Engineering and Science, Georgia Tech

  • Newell Washburn, Associate Professor of Chemistry and Biomedical Engineering, Carnegie Mellon University