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.

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 am associate editor of the Annals of Statistics, a member of the JRSS B discussion paper committee (the Research Section), and have served on NeurIPS/ICML/ICLR program committees for ten or so years.

Research interests

Some of my favorites: Exchangeability and distributional symmetries, the mathematical statistics of learning, machine learning in physics and engineering, Bayesian inference, and random graphs.

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