Peter Orbanz


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

I study large systems of dependent variables in machine learning and inference problems. That involves symmetry and group invariance properties, such as exchangeability and stationarity, random graphs and random structures, hierarchies of latent variables, and the intersection of ergodic theory and statistical physics with statistics and machine learning.

In the past, I was a PhD student of Joachim M. Buhmann at ETH Zurich, a postdoc with Zoubin Ghahramani at the University of Cambridge, and Assistant and Associate Professor in the Department of Statistics at Columbia University. I was visiting faculty at the Isaac Newton Institute in Fall '16, in the Theory Group at Microsoft Research New England in Spring '19, and will spend Fall '22 at UC Berkeley.

Research group