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Princeton University researchers led by machine learning expert Mengdi Wang are using language models to home in on partial genome sequences and optimize those sequences to study biology and improve medicine.
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This event is for seniors only, with a maximum capacity of 15-20 students.
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.
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…
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Across the Princeton campus, a diffuse group of research software engineers are tackling the challenge of making research code reproducible and sustainable head-on. Stationed across departments, the RSEs — as they’re referred to in shorthand — work to support computational research projects run by faculty.
The University is pushing limits, accelerating discovery and serving humanity. Nimble teams and muscular resources keep us at the forefront.
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.
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.
Upcoming Events
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Abstract: Diffusion models represent a significant breakthrough in generative AI, operating by progressively transforming random noise distributions into structured outputs, with adaptability for specific tasks through guidance or fine…
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.
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.