Selected for AAAI Doctoral Consortium; passed thesis proposal defense; two papers accepted at NeurIPS 2025; presented work on “Distributive Fairness in Large Language Models” at the SC4AI workshop at AAMAS 2025; won the Best Poster Award at PSU AI-Week 2025; bachelor's thesis accepted to MAISoN 2023 (hosted at IJCAI 2023).
Research Experience
Worked as a Software Developer at Anchanto Pte Ltd from June 2022 to July 2023, responsible for back-end development, data pipelines, and building machine learning-based services such as product matching and text analysis.
Education
Pursuing a Ph.D. in Informatics at Pennsylvania State University, advised by Professor Hadi Hosseini; completed B.Tech. in Computer Science and Technology from IIEST, Shibpur in 2022.
Background
Research interests include large language models (LLMs) as ethical decision-makers, with a focus on value alignment, procedural reasoning, and personalization. The research focuses on how well LLMs align with human moral and fairness judgments in collective decision-making domains such as resource allocation, kidney allocation, and matching markets; how reliably they can execute principled algorithms for aggregating preferences; and how they can be used to elicit individuals’ moral values from noisy responses and provide personalized ethical advice.
Miscellany
Into reading, theater, and debating; played a number of sports and always enjoys playing anything new.