MLSE 2020 Sponsorship

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The third annual MLSE conference, partially supported by an NSF TRIPODS+X award, will highlight the latest research in artificial intelligence and machine learning that are advancing science and engineering fields at large. This conference will demonstrate how data-driven approaches can help solve emerging challenges, and will showcase innovative thinking from a diverse range of technological disciplines. Throughout this three day conference, representatives from academia, government, and industry will gather together to explore the future of science and engineering across ten dedicated tracks.

2020 Track List: Astronomy, Astrophysics, and Physics  •  Biology  •  Health Sciences  •  Chemistry, Chemical Engineering, and Materials Science  •  Computing Systems  •  Earth and Environmental Sciences  •  Mechanical Engineering, Engineering Mechanics, and Civil Engineering  •  Methods and Algorithms  •  Neuroscience  •  Transportation

KEYNOTE SPEAKERS

  • 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 

Sponsor MLSE. ​MLSE will host ten distinct tracks that focus on machine learning as applied to specific scientific disciplines. To help support these new innovations, attendees are able to underwrite the conference in the form of a tax-deductible charitable sponsorship.

$2,500​ Sponsor will receive two tickets to the conference (a $600 tax value) and the option for a sponsor table at the event.

$5,000​ Sponsor will receive four tickets to the conference (a $1,200 tax value) and the option for a sponsor table at the event.

Other Amount​: You may sponsor at a custom level. Columbia University Data Science Institute will be in touch with you regarding any potential benefits in exchange for your sponsorship.

For additional inquiries about sponsorship, contact Alexis Avedisian: aa4598@columbia.edu

Columbia University can accept sponsorship donations via check. If you'd like to pay by check, please address the check to "Columbia University in the City of New York", with "MLSE Conference Sponsorship" in the memo line. The check can be mailed to: Columbia University, Attn: Daniel Alicea, 500 W 120th St Room 431, New York, New York 10027

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