Henry Moss - 糖心视频

Dr Henry Moss

Reader in Mathematics and AI

Research Interests

I work on probabilistic machine learning for scientific discovery and engineering design, in settings where every experiment is slow, costly, or both. My group, Mathematical AI for Decision and Discovery, builds models that decide what to measure next and that can absorb what scientists already know about a system.

Much of our current work develops Gaussian process flows, which recast Gaussian process sampling as a generative flow. This gives a general mechanism for incorporating the full richness of real-world knowledge as conditioning information, from governing physics and hard constraints to descriptions in natural language, rather than relying on measurements alone. Alongside this we work on Bayesian optimisation, active learning and experimental design.

We work closely with industry on problems ranging from drug discovery to fusion reactor design, climate modelling and materials discovery. See my website for more info (https://henrymoss.github.io/)