Calendar | Department of Statistics and Data Science

Upcoming Events

Jingfeng Wu, Simons Institute at UC Berkeley

Mon Sep 22, 2025

Hybrid

Title: Gradient Descent Dominates Ridge: A Statistical View on Implicit Regularization

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Aaditya Ramdas, Carnegie Mellon University

Mon Sep 29, 2025

Hybrid

Title:TBA

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S&DS Careers in Data Science, Madalina Persu, Quantitative Researcher, VP at Two Sigma

Fri Oct 3, 2025

In-Person

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Martin Wainwright, Cecil H. Green Professor EECS and Mathematics Laboratory for Information and Decision Systems Statistics and Data Science Center Institute for Data, Systems and Society

Mon Oct 6, 2025

Hybrid

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Subhabrata Sen, Department of Statistics at Harvard University

Mon Oct 13, 2025

Hybrid

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Adam Block, Department of Computer Science, Columbia University

Mon Oct 20, 2025

Hybrid

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Florentin Guth, Postdoctoral Researcher in Science of Deep Learning, New York University and Flatiron Institute

Mon Oct 27, 2025

Hybrid

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S&DS Careers in Data Science , Margaret L. Brandeau, Coleman F. Fung Professor of Engineering and Professor of Health Policy (by Courtesy) at Stanford University

Fri Oct 31, 2025

Virtual

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Richard Nickl, University of Cambridge TBA

Mon Nov 10, 2025

Richard Nickl from the University of Cambridge will deliver a talk on campus in November.

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Past Events

Alex Damian, Princeton University

Mon Sep 15, 2025
Dr. Chandrika Kamath, Data Scientist at the Lawrence Livermore National Laboratory (LLNL)

Fri Sep 12, 2025
S&DS Poster Session,

Mon May 5, 2025
FDS Women’s Colloquium: Feng Liang, Professor of Statistics at UIUC

Tue Apr 22, 2025
Do Large Language Models Need Statistical Foundations?

Mon Apr 21, 2025
FDS Women’s Colloquium: Lisha Li (CEO of Rosebud AI)

Thu Apr 17, 2025
Sharp matrix concentration inequalities

Mon Apr 7, 2025
FDS Women’s Colloquium: Tal Sarig (Meta)

Fri Apr 4, 2025
Unveiling In-Context Learning: Provable Training Dynamics and Feature Learning in Transformers

Mon Mar 31, 2025
Scaling Limits and Scaling Laws of Deep Learning

Fri Mar 28, 2025