Center for Statistics and Machine Learning

Graduate research transcends disciplines at annual joint colloquium
Guillermo Sapiro: leveraging machine learning for personalized healthcare
Duy Nguyen is a member of Princeton’s Safe Robotics Laboratory, where he develops machine learning methods that help robots to make safe choices in tough situations. Read more…
The inefficient but quick to learn “hunt and peck” method of typing on a keyboard is juxtaposed against the more difficult to learn, but in the end much more efficient, standard method of typing. Image credit: Javier Masís & Maria Cury (2025). Read more…
CSML and PICSciE certificate students present at joint research colloquium

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Open Position: Lecturer in Data and Intelligent Systems

Data and Intelligent Systems (DaIS) at Princeton University seeks to appoint outstanding lecturers to join our faculty in developing and teaching exciting undergraduate Data Science, Statistics, and Machine Learning courses. Depending on the applicant's background and DaIS’ needs, responsibilities may include a combination of teaching or co…

Yun Choi: understanding political objects with machine learning analysis

Today, as a PhD student in the Princeton University politics department, Yun Choi sees herself as a computational social scientist working among political scientists. “I want to develop machine learning methods for political scientists,” she said.

Ben Raphael gives lecture in front of projector screen

Ben Raphael: using machine learning to reconstruct biological tissues over space and time

On March 17, Ben Raphael gave a talk at CSML as a part of the Lunchtime Faculty Seminar series. Over the course of the talk, he discussed new machine learning methods designed to improve the analysis of transcriptomics data.

collage includes premodern Chinese text; robotics; 13th-century Byzantine Greek texts; and student in music cognition lab

AI and the humanities: Across the Princeton campus, an era of collaboration is underway.

From piecing together fragments of ancient texts with language models to exploring the future of human-robot interactions, Princeton scholars aren’t just exploring what AI can do for the humanities. They’re uncovering what the humanities can do for AI.

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