Vedant Shah
Ph.D. Student
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Vedant is a PhD student at the University of Illinois Urbana-Champaign, specializing in Data Science and Machine Learning. His research interests span Data quality, Bayesian inference, Deep Generative Modeling, and Reinforcement Learning with Human Feedback (RLHF) with an emphasis on improving AI interpretability. In his spare time, Vedant enjoys working out, playing badminton, swimming, and hiking. He is passionate about crafting agents that combine advanced reasoning skills with clarity, enhancing the way AI understands information and communicates with people.