Peter Orbanz

Welcome.

I am Professor of Machine Learning in the Gatsby Computational Neuroscience Unit at University College London.

I work on machine learning, statistics, symmetry, and dynamics. Some of my favorite topics are exchangeability and distributional symmetries, the mathematical statistics of learning, machine learning in physics and engineering, Bayesian inference, and random graphs.

I was a PhD student at ETH Zurich, a postdoc at the University of Cambridge, and Assistant and Associate Professor at Columbia University. I have spent sabbaticals at the Isaac Newton Institute, at Microsoft Research New England, and at UC Berkeley. I serve on the editorial board of the Annals of Statistics, on the Research Section of the Royal Statistical Society, and AC/SAC for NeurIPS, ICML and ICLR with some regularity.

Research group

Hugh Dance • PhD student
Vasco Portilheiro • PhD student
Vince Velkey • PhD student

Former PhD students and postdocs

Morgane Austern • Assistant Professor • Harvard University
Benjamin Bloem-Reddy • Associate Professor • University of British Columbia
Lee M Gunderson • Assistant Professor • University of Bath
Kevin H Huang • Postdoc • University of Warwick and Princeton University
Victor Veitch • Assistant Professor • University of Chicago
Wenda Zhou • Researcher • OpenAI