Soham Bonnerjee
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PhD Student
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About Me
I am a fifth year PhD student in the Department of Statistics, University of Chicago. I am fortunate to be advised by Prof. Wei Biao Wu. I did my Bachelors and Masters in Statistics from Indian Statistical Institute, Kolkata. I will be on the academic job market this fall. Feel free to connect with me if you are aware of any openings.
Research
My research interests lie broadly at the intersection of time series and learning theory, with a central focus on developing valid statistical inference methods for data exhibiting complex dependency structures. Most recently, I’ve been exploring the emerging statistical foundations of large language models. My publications and preprints can be found here.
News
(Sept., 2025) Check out our new preprint on Watermark segmentation in Large Language Models. Our novel, epidemic change-point perspective obtains the first ever theoretically valid and computationally efficient algorithm to solve watermark segmentation.
(Sept., 2025) Our papers on Gaussian approximations of Decentralized Federated Learning, and Asymptotic theory of SGD with general learning rate, have been accepted at NeurIPS 2025 as Spotlight (Top 3%) and Poster respectively. This was my first submission and acceptance at NeurIPS.
(Sept., 2025) Our paper on Synchronization of change-points received a Major Revision at Biometrika.
Education
University of Chicago, Chicago, IL, USA: Ph.D., Statistics, 2021 (August) - Current
Indian Statistical Institute, Kolkata: Master of Statistics (M.Stat), 2019 (July) - 2021 (May)
Indian Statistical Institute, Kolkata: Bachelor of Statistics (B.Stat), 2016 (July) - 2019 (May)