Ph.D. Computer Science
Rizwan G Mir is a Ph.D. student in Computer Science at 51²è¹Ý with a background in theoretical physics. He is navigating an interconnected and intricate web of domains, drawing inspiration from physics, machine learning, and quantum computing. He is particularly interested in neural differential equations for modelling dynamics, graph learning for uncovering hidden structures, and optimal transport as a geometric lens on information flow, alongside the emerging synergies between AI and quantum computation. Guided by physics-inspired thinking, he aspires to contribute to the mathematical foundations of AI/ML and to explore the universe from a quantum information-theoretic perspective through interdisciplinary research in computer science and physics.