Featured News
The AI boom brings with it opportunities for great benefits — but risks for individual and societal harm are inevitable as well. In a seminar hosted by the Center for Statistics and Machine Learning, Assistant Professor Jaime Fernández Fisac shared some of the ways he and his colleagues at the Safe Robotics Laboratory are using machine learning to work toward ensuring that humans are protected from harm when operating and co-existing with robotic systems.
Next Event
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Open Positions
The Princeton Center for Statistics and Machine Learning (CSML) invites applications for DataX Postdoctoral Fellowships.
The DataX Postdoctoral Fellowships are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the research group of a current…
Latest News
The Alfred P. Sloan Foundation has named Boris Hanin, Chi Jin and Aleksandra Korolova 2024 Sloan Research Fellows. The fellowships honor creative early-career researchers in the sciences and social sciences.
How does a researcher make sense of the data they collect over the course of what might be years of conducting experiments? The Center for Statistics and Machine Learning hosted a workshop exploring the ways in which machine learning can enhance research efforts across campus.
If you’re starting to deploy artificial intelligence in your everyday life, how can you be sure that the tools you’re using are trustworthy? As the reach of AI extends deeper into our daily routines, Princeton’s in-house AI expert Arvind Narayanan aims to help the public disentangle fact from fiction.
Julian Gold had spent most of his academic research career in the world of pure mathematics. Now, Gold is a data scientist at Princeton University, where he is applying his background in pure mathematics and probability to computational biology and bioinformatics – fields that use computational methods to analyze enormous and complex data sets. Through Princeton's Schmidt DataX Initiative, he is part of a team developing tools for understanding growing tissue.
Upcoming Events
This is an informal event.
This event is for seniors only, with a maximum capacity of 15-20 students.
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Graduate students completing certificates in Computational Science & Engineering and Statistics & Machine Learning will give seminars on their dissertation research. Each seminar will be approximately 20 minutes including time for questions from the audience. The event is open to the campus community.