Hi! I am a PhD student at the Paul G. Allen School of Computer Science, University of Washington. My research lies at the intersection of Machine Learning (ML), linguistics, and philosophy of ignorance with applications to education and healthcare. I am particularly interested in evaluating how LLMs address epistemic incompleteness in humans. In addition, I design proactive agents to augment human knowledge by computationally modeling experience and expertise. I'm grateful to have my research supported by the Community-Centered Computing Initiative’s (CECI) Grant, Microsoft Endowed Fellowship.
Before joining PhD, I was a research intern at the MPI-SP, where I worked under the supervision of Asia Biega at the intersection of GDPR's Data Minimization Principle and Federated Learning. I completed my Master's in Computer Science & Engineering at IIT, Ropar, and was extremely fortunate to be advised by Shweta Jain and Sujit Gujar. I will always be thankful to them for being my first mentors, introducing me to research and guiding me throughout my journey to PhD. My Master's thesis aimed at improving fairness in Federated Recommendation Systems and was nominated for Best MTech Thesis Award.