
Challenger Mishra
Departmental Early Career Academic Fellow and Affiliated Lecturer in the Accelerate Programme for Scientific Discovery, Department of Computer Science and Technology, University of Cambridge
Professional profileDr Challenger Mishra is a Departmental Early Career Academic Fellow and Affiliated Lecturer in the Accelerate Programme for Scientific Discovery at the Department of Computer Science and Technology, University of Cambridge. He is also a Bye Fellow in Computer Science at Queens’ College, where he is responsible for supervisions and currently serves as Director of Studies for first-year Computer Science students. He is passionate about inspiring the next generation of researchers and preparing them for the challenges ahead.
Dr Mishra’s research lies at the intersection of physics, geometry, and machine learning. He develops machine-driven approaches to problems in string theory and related Calabi-Yau geometries, studying the vast landscape of string theory solutions using a combination of tools and techniques from machine learning and mathematical physics. His work aims to deepen our understanding of the map between string theory models and the Standard Model of particle physics.
He obtained his DPhil in Theoretical Physics as a Rhodes Scholar at the University of Oxford. Prior to his current positions, he held postdoctoral appointments at the Institute of Mathematical Sciences in Madrid, and jointly at The Alan Turing Institute and the University of Oxford. He has also held college lectureships in physics, mathematics, and computer science at Oxford.