Sayantan Choudhury
Hi! I am Sayantan Choudhury, a 5th year PhD candidate in the Department of Applied Mathematics and Statistics at Johns Hopkins University. I am very fortunate to work under the supervision of Nicolas Loizou.
My research is in the area of Optimization and Machine Learning. My work analyses Extragradient Methods for solving structured non-convex problems and Federated Learning. I am also interested in adaptive methods and methods for solving large-scale linear equations. In Fall 2023, I was a research intern at MBZUAI, UAE, where I was working with Martin Takac on designing adaptive methods.
Before coming to JHU, I completed my B.Stat and M.Stat from Indian Statistical Institute, Kolkata. During my Bachelors and Masters, I was involved in several research projects at the Indian Statistical Institute and the Centre for Science of Student Learning. After joining JHU, I completed my MSE in Applied Mathematics and Statistics with a concentration on Optimization.
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Education
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2025 (Expected) - Ph.D. in Applied Math & Stat, Johns Hopkins University
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2023 - MSE in Applied Math & Stat, Johns Hopkins University
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2020 - Master's in Statistics, Indian Statistical Institute, Kolkata
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2018 - Bachelor's in Statistics, Indian Statistical Institute, Kolkata
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Research
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Teaching
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I have worked as a Teaching Assistant for the following courses:
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Spring 2023 - Iterative Algorithms in Machine Learning: Theory and Applications, Johns Hopkins University.
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Spring 2023 - Optimization in Data Science, Johns Hopkins University.
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Fall 2022 - Large Scale Optimization for Data Science, Johns Hopkins University.
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Spring 2022 - Machine Learning II, Johns Hopkins University.
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Fall 2021 - Introduction to Convexity, Johns Hopkins University.
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Spring 2021 - Network Analysis and Operations Research, Johns Hopkins University.
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Invited Talks & Posters
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2024 - Google Research, Bengaluru, India (Talk)
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2023 - Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA (Poster)
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2023 - SIAM Conference on Optimization (OP23), Seattle, USA (Talk)
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2023 - Annual Conference on Information Sciences and Systems (CISS 2023), Baltimore, USA (Talk)
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Professional Services
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I have served as a reviewer for the following conferences and journals.
Conferences:
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International Conference on Machine Learning (ICML) 2024
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Annual Conference on Neural Information Processing Systems (NeurIPS) 2024
Journals:
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Journal of Machine Learning Research (JMLR)
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Scientific Reports
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IEEE Signal Processing Letters
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