Dr Kevin Han Huang

Email: kevin[dot]huang[at]warwick.ac.uk

I am a postdoctoral research fellow funded by the EPSRC ProbAI Hub, working with Gareth Roberts at Warwick statistics and Boris Hanin at Princeton Operations Research & Financial Engineering. I received my PhD in machine learning from the Gatsby Computational Neuroscience Unit at UCL, where I was advised by Peter Orbanz at Gatsby and Morgane Austern at Harvard statistics. I was a visiting researcher at the LIPS group at Princeton Computer Science advised by Ryan P. Adams during Spring 2024, where I worked on AI-for-physics algorithms. Prior to my PhD, I received my Bachelor and Master in mathematics from University of Cambridge.

I am interested in various theoretical and algorithmic aspects of machine learning, and how they can be better understood by new probability theory tools and statistical analyses. I am also interested in how these analyses can be applied to various aspects of computer science, quantum physics, economics and neuroscience. If you work in these areas and would like to have a chat, please do not hesitate to drop me an email. For more details, please visit my website.

I am currently co-organising the ProbAI online seminar with Katerina Karoni. You are welcome to subscribe to our mailing list from the seminar page, or email us if you have any questions.

A non-exhaustive list of jargons that make me excited: Universality; scaling laws; (approximate) symmetry; stochastic optimisation; uncertainty quantification; random matrix theory; high-dimensional statistics; sampling methods; AI for science.