
A Dialogue Concerning the Future of Mathematics
On Proof, Understanding, and Artificial Intelligence
IRSA Faragher Distinguished Postdoctoral Fellow
School of Statistics, University of Minnesota–Twin Cities
I am a postdoctoral fellow in the School of Statistics at the University of Minnesota–Twin Cities (2025–2027). I received my Ph.D. in Statistics from the University of Minnesota in 2025, advised by Adam J. Rothman.
My current research focuses on quantum information science. I study the statistical limits of quantum state estimation, the behavior of quantum entanglement, and the mathematical foundations of quantum computational advantage. My broader research interests include high-dimensional statistics, adaptive experimental design, and gravitational-wave inference. Random matrix theory and probability provide central mathematical tools for this work, alongside statistical learning and optimization.
My recent work on uniform hiding and local hafnian anticoncentration represents a significant breakthrough toward establishing quantum advantage in Gaussian boson sampling. Read the explanation.
Invited talk on gravitational-wave inference at Sun Yat-sen University. Slides
Invited talk on adaptive design for quantum state tomography at Tianjin University. Slides
Began the IRSA Faragher Distinguished Postdoctoral Fellowship at the University of Minnesota.

On Proof, Understanding, and Artificial Intelligence

From photon interference and the permanent to hafnians, including my results on both uniform hiding and local anticoncentration.

From chess and AI coding to scientific discovery: why verification matters, what Lean checks, and how I would organize research with AI and formal proofs.

A PDF, an overnight argument, and two days learning the geometry behind a problem that had resisted me for months.