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September 
28
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Clear your calendar - It's going down! Splash Blocks kicks off on April 20th, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

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MLSE 2020
Track & Chairs
Submissions
Location
Become a Sponsor
Contact


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Please visit MLSE2020.com for our new site and the latest information on MLSE 2020.

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Machine Learning in
Science & Engineering
December 14-15, 2020

DSI-CU_Logo_White_WEB_crop.png


The third annual MLSE conference 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 two day virtual conference, representatives from academia, government, and industry will gather together to explore the future of science and engineering across ten dedicated tracks.


In 2017, an internal symposium on machine learning in science and engineering was held at Carnegie Mellon University (CMU) to identify ways in which these computational tools advance diversity in several fields. Based on the strong response, the first open MLSE conference was held in 2018 at the CMU campus in Pittsburgh in partnership with Georgia Tech. The second MLSE was held at Georgia Tech in 2019 in conjunction with CMU and Columbia University. The second and third MLSE conferences are partially supported by an NSF TRIPODS+X award.


Columbia University will expand the scope of the previous conferences by adding:


- New tracks in science and engineering fields, such as biology, civil engineering, earth sciences, neuroscience, and transportation.


- A track on the foundations of machine learning, driven by science and engineering data.


- A track on the design of computational systems, from the hardware layer (CPUs, GPUs, TPUS, FPGAs) through the software stack, that focus on data-driven science and engineering.

  •  


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 
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TRACKS
& TRACK CHAIRS

Preliminary list of track chairs.
For questions specific to a track, please contact track chair(s) via email linked to their name.

Astronomy, Astrophysics, and Physics

Szabolcs Marka, David Kipping, Zsuzsanna Marka, Melissa Ness

Biology

Itsik Pe'er & Maria Chikina

Health Sciences

Olena Mamykina & Adler Perotte

Chemistry, Chemical Engineering, and Materials Science

Sanat K. Kumar &  Simon Billinge

Computing Systems

Martha Kim & Sarah Bird

Earth and Environmental Sciences

Pierre Gentine & Laure Zanna

Mechanical Engineering, Engineering Mechanics, and Civil Engineering

Steve WaiChing Sun & Krishna Garikipati

Methods and Algorithms

John Paisley,  John Wright, and Alexandr Andoni

Neuroscience

Paul Sajda

Transportation

Sharon (Xuan) Di & Rongye Shi

RESEARCH SUBMISSIONS

Click here to begin your submission

Please email track chairs directly with any submission questions.

RESEARCH SUBMISSIONS

MLSE track chairs welcome your research submissions. Submissions will be reviewed for inclusion in select track sessions and plenary poster sessions.

 

Please email the track chairs directly to explore other calls for papers, posters and research. Applicants will be alerted to the status of their submission in the Fall 2020 semester.

SUBMIT RESEARCH
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DAY 1 SCHEDULE

DAY #1

MORNING

Registration & Doors Open

8:00 AM


Breakfast

8:20 AM - 8:50 AM


Welcome Address

8:50 AM - 9:00 AM


Plenary Session 1:

Keynote Speaker
Cynthia Rudin

9:00 AM - 9:40 AM


Coffee Break

9:40 AM - 10:00 AM


TRACK SESSION 1

- Astronomy, Astrophysics, and Physics

- Biology

- Computing Systems

- Earth and Environmental Sciences

- Mechanical Engineering, Engineering Mechanics, Civil Engineering


10:00 AM - 12:00 PM

LUNCH

Lunch +

Poster Session / Industry Tables

12:10 PM - 1:10 PM


Plenary Session 2:
Keynote Speaker 
David W. Hogg

1:10 PM - 1:50 PM

AFTERNOON

TRACK SESSION 2

- Astronomy, Astrophysics, and Physics

- Biology
- Computing Systems

- Earth and Environmental Sciences

- Mechanical Engineering, Engineering Mechanics, Civil Engineering

2:00 PM - 4:00 PM


Coffee Break

4:00 PM - 4:30 PM


TRACK SESSION 3

- Astronomy, Astrophysics, and Physics

- Biology
- Computing Systems

- Earth and Environmental Sciences

- Mechanical Engineering, Engineering Mechanics, Civil Engineering

4:30 PM - 6:30 PM


Reception

6:30 PM - 7:15 PM

DAY 2 SCHEDULE

DAY #1

MORNING

Registration & Doors Open

8:00 AM


Breakfast

8:20 AM - 8:50 AM


Welcome Address

8:50 AM - 9:00 AM


Plenary Session 3:

Keynote Speaker
William Dally

9:00 AM - 9:40 AM


Coffee Break

9:40 AM - 10:00 AM


TRACK SESSION 4

- Health Sciences
- Chemistry, Chemical Engineering, and Materials Science
- Methods and Algorithms
- Neuroscience
- Transportation

10:00 AM - 12:00 PM

LUNCH

Lunch +

Poster Session / Industry Tables

12:10 PM - 1:10 PM


Plenary Session 4:
Keynote Speaker 
Barbara Engelhardt

1:10 PM - 1:50 PM

AFTERNOON

TRACK SESSION 5

- Health Sciences
- Chemistry, Chemical Engineering, and Materials Science
- Methods and Algorithms
- Neuroscience
- Transportation

2:00 PM - 4:00 PM


Coffee Break

4:00 PM - 4:30 PM


TRACK SESSION 6

- Health Sciences
- Chemistry, Chemical Engineering, and Materials Science

- Mechanical Engineering, Engineering Mechanics, Civil Engineering
- Methods and Algorithms
- Neuroscience

4:30 PM - 6:30 PM

LOCATION & DETAILS

DATE

DATE

September 
28 
2019 
7:00am 
11:00pm

LOCATION

TIME

Saturday 
7:00am 
11:00pm

Map Block #1

WHO SHOULD ATTEND

For the third MLSE, to be held at Columbia University on June 1-3, 2020, we plan to expand the scope of the previous two MLSE in three ways, adding: (1) new tracks in science and engineering fields, such as biology, civil engineering, earth sciences, and neuroscience, that were not covered before; (2) a new track specifically on the foundations of machine learning, driven by science and engineering data; and (3) a track on the design of computational systems, from the hardware layer (CPUs, GPUs, TPUS, FPGAs) through the software stack, that focus on data-driven science and engineering.

#MLSE2020

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WHAT TO EXPECT

01

BEST PRACTICES

Learn best practices, strategies, and ideas you can implement today.

02

GAIN INSIGHT

Hear from some of the most innovative technologists in the industry.

03

INSPIRATION

Leave inspired, invigorated and empowered.

TECHNOLOGY IS BEST WHEN IT BRINGS PEOPLE TOGETHER PLACEHOLDER

JEANNETTE WING

SPONSORSHIP OPPORTUNITIES

 

 

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 at this level and receive two tickets (a $600 tax value) to the conference and all sponsorship benefits.


$5,000 - Sponsor at this level and receive four tickets (a $1,200 tax value) to the conference and all sponsorship benefits.


Both sponsorship levels include recognition on track signage at the event and on the MLSE website and other promotional materials.

 

SPONSOR NOW 

 

 If you’d like sponsor 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

 

Please contact Alexis Avedisian (aa4598@columbia.edu) for more details. 

Sponsor Block #11

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