It is a great honor to take on this role at a critical time for statistics, machine learning and data science. I hope I can contribute to our community at Princeton and in the broader world. Watch this space!

As we welcome students coming back to campus for the fall semester, we also would like to give a warm welcome to the Center for Statistics and Machine Learning’s new director, @arthur_spirling. Read Spirling's message to the community: https://t.co/wX7Ns98aBs

With grant funding from the W.M. Keck Foundation, two Princeton researchers are building an AI tool to cut through stellar noise and help detect Earth-like planets 🔭 More via @PrincetonSML: https://t.co/sgmaxRf2W5

Shoutout to all the @Princeton researchers participating in @icmlconf #ICML2025 Browse through some of the cutting edge research from AI Lab students, post-docs and faculty being presented this year: https://t.co/pCRjcKaH7G

For her senior thesis, Kajal Schiller '25 designed a computer simulation game to measure whether socioeconomic status might determine how likely people are to take advantage of resources that can help them solve problems.

Congratulations to Ben Eysenbach and @ZhongingAlong on receiving junior faculty awards from @EPrinceton! 🎉 The awards are given to assistant professors who have demonstrated excellence in research and teaching. https://t.co/hcL73a12qt

In April, eight students from an array of departments presented their research at the annual CSML-PICSciE joint colloquium “This event helps build a community of scholars across related certificate programs,” said CSML Director Peter Ramadge. Read now: https://t.co/1OWQ5gHOZU

Princeton engineers have identified a universal weakness in AI chatbots that allows users to bypass safety guardrails and elicit directions for malicious uses, from creating nerve gas to hacking government databases.

Groundwater is being depleted at an alarming rate and it’s long been difficult to model — until now. 💧 @PrincetonEnviro and @uarizona researchers studied groundwater from coast to coast for 3 years and, in turn, created a simulation that maps its journey on a continental scale.

At last week's @princetonideas Research Day, SML's James Zhang '25 received the @Princeton Library Award for his work exploring how large vision-language models can help generate richer, more expressive metadata Watch his video presentation on his work: https://t.co/wkDScnxWZg

“We designed TigerData to empower researchers to do the things they want to do with their data, both for present projects and for future endeavors.” A new data management service coming to Princeton enables researchers to work with data in better ways:

“The thing that this service provides for Princeton researchers is a stamp of confidence saying that we reviewed the environment and it’s safe.” Read about the Princeton AI Sandbox; a secure environment for campus researchers to explore using LLMs: https://t.co/mVtzvMHaks

New research co-led by @PrincetonNeuro's @SebastianSeung promises to accelerate the study of normal brain function: seeing, storing and processing memories, and navigating complex environments.

.@arpastrana_ is passionate about computing efficient geometry for architectural structures in order to both reduce cost and carbon footprint. "One of the secret sauces powering the methods I work with to create good shapes is machine learning": https://t.co/Udonrz1FBB

“Reinforcement learning algorithms can learn as efficiently, if not more efficiently, when you tell them to get to a desired configuration on their own." Read about @ben_eysenbach's seminar on his findings on self-supervised RL techniques: https://t.co/mjtG8LGHxY

🚀 We are the Safe Robotics Lab at Princeton. We work on making robots and AI safe around people. 🤖🤝👥 #SafeRobotics #TrustworthyAI #HumanRobotInteraction 🎬Check us out in < 1 min! ⬆️🔊🎶 Discover more: https://t.co/hyh8Bb42hL (1/3)

Welcome to the official X for the Princeton Laboratory for Artificial Intelligence (“AI Lab” for short). Our mission is to support and expand the scope of AI research @Princeton Follow our page for the latest updates on events, news, research, and more at the AI Lab

Congratulations to Center for Statistics and Machine Learning participating faculty member @JKlusowski on this prestigious achievement 👏 👏👏

I feel privileged to advise brilliant students at Princeton, this picture with Windsor Nguyen and Isabel Liu (senior and junior!)

Prof of @PrincetonCS and Director and co-founder of Google AI, Princeton Elad Hazan is researching a new way of designing neural networks inspired by dynamical systems. “We hope to improve the architectures that underlie current AI" said @HazanPrinceton: https://t.co/ZdHOh6TGVh