DataX Workshop Series

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WORKSHOP SERIES

 

With the support of a major gift from Eric Schmidt ’76, his wife Wendy, and the Schmidt Futures Foundation the Center for Statistics and Machine Learning (CSML) is pleased to sponsor the Data Science at Princeton Workshop Series.  These innovative and collaborative workshops in data science and machine learning are aimed at accelerating scientific discovery across Princeton University. The goal is to fund transformative inter-disciplinary workshops with high potential for subsequent impact on the broad research community.


 

Upcoming Workshops

July 13-14 | Accelerating Molecular Simulations with Machine Learning

Presented by Roberto Car, Chemistry and  Weinan E, Mathematics

Date TBD | Managing Uncertainty in Machine Learning

Presented by Peter Melchior, Astrophysics and Center for Statistics and Machine Learning

Date TBD | Old and New Open Questions in Optimization

Presented by Nicholas Boumal, Electrical Engineering

Date TBD | Synthetic Control Methods

Presented by Matias Cattaneo, Operations Research and Financial Engineering
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Date TBD | Tutorial Workshop on Machine Learning for Experimental Science

Presented by Michael Churchill, Hantao Ji, William Tang
Princeton Plasma Physics Laboratory

Date TBD | Securing Machine Learning: Where Next?

Presented by Prateek Mittal, Electrical Engineering