Utkarsh Yashvardhan

I am a mathematician and computer scientist with a deep interest in building rigorous theoretical foundations for artificial intelligence. Drawing from my dual background, my primary ambition for my Ph.D. is to explore the intersection of Category Theory, Singular Learning Theory, and Safe AI. I have spent time building a strong foundational understanding of these fields and am eager to transition into active research to help develop formal, mathematical guarantees for AI systems. Additionally, I maintain secondary exploratory interests in Scientific Machine Learning (SciML) and Quantum Machine Learning (QML).

Academic Background

I hold a dual M.Sc. in Mathematics and B.E. in Computer Science from BITS Pilani (2024). I am currently expanding my technical expertise through the MS CS program at Georgia Tech, specializing in Machine Learning, with an expected graduation in December 2026.

Research & Academic Vision

I am actively seeking a Ph.D. program that champions interdisciplinary exploration. Because the problems I want to tackle require bridging abstract mathematics with computer science, I am looking for academic environments that support cross-departmental collaboration.

During my doctoral studies, my objective is to secure competitive research fellowships and dive deeply into the open problems of AI safety. I am driven by a long-term commitment to academia, with the goal of ultimately securing a faculty position to teach and push the theoretical boundaries of artificial intelligence.