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. Keywords include symmetry and group invariance properties, such as exchangeability and stationarity, random graphs and random structures, hierarchies of latent variables, and ergodic theory and statistical physics. My work is always motivated by problems in 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 have spent sabbaticals at the Isaac Newton Institute, in the Theory Group at Microsoft Research New England, and at UC Berkeley.

Research group

Former PhD students and postdocs