Yale Institute for Foundations of Data Science, Kline Tower 13th Floor, Room 1327, New Haven, CT 06511
Speaker: Subhro Ghosh, Assistant Professor, Department of Mathematics, Department of Statistics & Data Science, Institute of Data Science Singapore (National University of Singapore)
Monday, September 25, 2023, 4:00PM to 5:00PM
Location: Yale Institute for Foundations of Data Science
Kline Tower 13th Floor, Room 1327
219 Prospect Street, New Haven, CT 06511
Bio: I am an assistant professor at the National University of Singapore and a faculty affiliate at the Institute of Data Science, NUS. I am broadly interested in stochastics, focussing on problems from statistical physics and the math of data, and their interactions. Before joining NUS, I was a post doc at Princeton University, and prior to that I obtained my PhD from the University of California, Berkeley under the supervision of Yuval Peres. Earlier, I received my Bachelor in Statistics and Master in Mathematics degrees from the Indian Statistical Institute. My work is generously supported in part by the Singapore MOE Tier II Grant ‘Complex structures in Statistical Physics and the Math of Data’. I am grateful to be a Finalist for the Bell Labs Prize, 2022.
Research: I am broadly interested in stochastics, focussing on problems from statistical physics and the math of data, and their interactions. These encompass constrained stochastic systems and their applications, including problems of learning under complex structure (e.g., latent symmetries or community structure), dimension reduction, sampling and optimization, statistical networks and signal processing. Key paradigms include determinantal processes (DPP), strong Rayleigh measures and negative dependence, multi reference alignment (MRA), maximum likelihood under constraints, generative priors, Gaussian random fields and stochastic geometry. The investigation of these problems naturally brings together a wide array of tools and techniques, including probability, harmonic and complex analysis, persistent homology and the theory of group representations.