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I am actively seeking new-grad ML roles in the industry. If you like my profile, please reach out at sayakchakrabarty2025@u.northwestern.edu
Recent News
July 2026 - Paper accepted at ICMLA 2026! Excited to visit Rochester, Michigan.
May 2026 - I am excited to be featured by Northwestern Feinberg School of Medicine for applications of AI in Medicine.
May 2026 - I am excited to be recognized as a Gold Reviewer (top 25 percent) at the ICML 2026 and getting free registration.
Apr 2026 - Our paper Personalized Federated Learning through Clustering of Loss Vector Embeddings accepted in International Conference on Machine Learning (ICML 2026). This was my summer internship project at Bell-Labs.
May 2025 - Invited to talk at Salesforce AI Research forum where I presented my research ReadmeReady. Read about it here
Sep 2024 - I have been selected as Predictive Science and Engineering Design cluster fellow. I will be working on the project “Adapting LLMs to Design Parts for Manufacture”.
December 18, 2023 - Featured in Department news: Strong Northwestern CS Presence at the 2023 NeurIPS Conference
December, 2023 - Featured in Engineering news at Northwestern. SockDef: Mitigating review fraud
September, 2022 - A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense: Best Paper Award at DASC/PiCOM/CBDCom/CyberSciTech22
About Me
I am a PhD candidate in the Department of Computer Science at Northwestern University.
I have worked on Large Language Models, Vision-Language Models, and Multimodal AI, Recommendation and Ranking Systems, Reinforcement Learning and Sequential Decision-Making, Machine Learning for Materials Science, Federated and Personalized Learning, Statistical Learning Theory and Algorithms, ML Applications in Law and Ethics, Adversarial Machine Learning and Review-Fraud Detection and Explainable AI.