Center for Statistics and Machine Learning

Featured News

Naveen Verma: making AI computing more efficient and cost effective
March 11, 2025
Author
Written by Allison Gasparini

“By leveraging fundamentally different physics, we can better align with the computations AI is doing,” said Professor of Electrical and Computer Engineering Naveen Verma. “Our work goes all the way from building the circuits that leverage physics in large-scale chips, to building the software.”

Next Event

Cracking the Market Code: Building Large Foundation Models for High-Frequency Trading
Tue, Mar 25, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Co-sponsored by AI2 and the Center for Statistics and Machine Learning

Abstract: In this talk, I will delve into the exciting research opportunities and unique challenges of building large foundation models for high…

Open Positions

Open Rank Faculty Positions in Interdisciplinary Data Science
Sept. 18, 2024

As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track faculty members across all science, engineering, social science, and humanities areas. This initiative will involve multiple faculty hires over the next several years. We are particularly interested in applicants…


 

Latest News

Lydia Liu: Rethinking AI’s impact on society through the lens of fairness

Lydia Liu, an assistant professor of computer science at Princeton University, wondered, “If we know there are certain imperfections in the data, can we design algorithms that actively correct for this?”

Elad Hazan: neural architectures inspired by dynamical systems

Princeton University Professor of Computer Science and Director and co-founder of Google AI, Princeton Elad Hazan is researching a different way of designing neural networks. His group’s novel architecture design has been experimentally shown to have the power to bolster the computation performance of large language models. 

Emma Levin: understanding how hurricane activity will change in a warming world

Emma Levin is a second year graduate student in the Program in Atmospheric and Oceanic Sciences who has dedicated herself to research in the pursuit of an increasingly urgent question: How will hurricane activity change in a warming world? 

Korolova and Russakovsky receive Presidential Early Career Award for Scientists and Engineers

Center for Statistics and Machine Learning participating faculty members Aleksandra Korolova and Olga Russakovsky are among the 2024 recipients of the Presidential Early Career Awards for Scientists and Engineers (PECASE). The PECASE award is the highest honor given by the U.S. government to early career scientists and engineers.