2022 Flatiron Machine Learning X Science Summer School: First Announcement

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Shirley Ho

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Mar 18, 2022, 9:35:13 PM3/18/22
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Calling all PhD students and advanced undergraduates who are interested in ML X Science

The Flatiron Institute Machine Learning X Science summer school starts with the motivation to introduce modern methods of statistical machine learning and inference to the scientific community. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of scientists want to apply machine learning methods to their research problems, very few machine learning courses teach state of the art methods with science applications in mind.

Flatiron Machine Learning X Science summer school presents both topics which are at the core of modern Machine Learning, but also topical applications of modern ML on a variety of scientific disciplines. The speakers are leading experts in their field who talk with enthusiasm about their subjects.

The Summer School will consist of two weeks of lectures and 6 weeks of hands-on projects mentored by leaders in the field.

Invited Lecturers include following:
Yann Lecun

Internal Lecturers:
Mitya Chklovskii
SueYeon Chung
Miles Cranmer
Robert M. Gower
Shirley Ho
David Hogg
Dan Foreman-Mackey
Stephane Mallat
Chirag Modi
Javier Robledo-Moreno
Vikram K. Mulligan
Anirvan Sengupta
Eero Simoncelli
Alex Williams
Yuling Yao
Frank Zijun Zhang
Wenda Zhou

Due to mentoring capacity limits, we will only be able to admit ~20 applicants to our school in person, but will offer online participation for the first 2 weeks. Please check the box of “online application” if you would also like to be considered for online participation. Our lectures will be streamed online, and we will aim to open source all additional materials.

Accommodations:
Simons Foundation will sponsor admitted participants for the duration of the summer school for their room and board, and travel to and from the summer school.

Deadline of application: April 15, 2022. 

For details see: Click Here

Organizers:  
Miles Cranmer
Domenico Di Sante
Michael Eickenberg
Siavash Golkar
Shirley Ho
Natalie Sauerwald


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Group Leader (Cosmology X Data Science), Center for Computational Astrophysics,  Flatiron Institute, Simons Foundation
Research Professor of Physics & Affiliate Faculty at Center for Data Science, New York University 
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