Kirandeep Kaur

Bio

Hi! I am a second-year PhD student at the Paul G. Allen School of Computer Science, University of Washington. I am associated with Infoseeking Lab, RAISE and advised by Chirag Shah. My research is grounded in the philosophy of unknown unknowns, approaching them both as potential opportunities and sources of unintended harm. I design proactive agentic frameworks capable of anticipating emergent behaviors and identifying both opportunities and risks in uncertain environments. I'm grateful to have my research supported by the 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.

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