Data Science Institute (DSI) affiliates Georgia Karagiorgi and Shuran Song have won 2022 Sloan Research Fellowships.
Winners represent the most promising early-career scientific leaders in the U.S. and Canada and receive $75,000 to support their research from the Alfred P. Sloan Foundation.
Karagiorgi is an associate professor of physics on Columbia’s Faculty of Arts and Sciences and an affiliated member of DSI’s Computing Systems for Data-Driven Science center. She is a particle physicist and has spent the last decade addressing fundamental questions in particle physics: whether additional neutrino states may exist in nature, and whether neutrinos behave in ways inconsistent with the standard model of particle physics. Her research includes building high-precision instruments to detect rare particle interactions and developing machine learning techniques to pick out extremely subtle signals in real-time particle interaction data. Karagiorgi received her Ph.D. in experimental high energy physics from the Massachusetts Institute of Technology.
Song is an assistant professor of computer science at Columbia Engineering and an affiliated member of DSI’s Data, Media and Society and Smart Cities centers. She has helped define and lead the emerging field of embodied intelligence based on the idea that robots (and humans) learn best by actively perceiving and interacting with the world. Her work is currently focused on training machines to perceive and recognize soft objects that change shape, like the clothes in your laundry basket, by interacting with and unfolding them. As a researcher and educator, Song has pushed for greater diversity in artificial intelligence (AI) by working with nonprofits like AI4All. She received her Ph.D. in computer science from Princeton University.
Learn More: Announcing the 2022 Sloan Research Fellows