Welcome.
I am Professor of Machine Learning in the Gatsby Computational Neuroscience Unit at University College London.
I study machine learning problems involving many interacting variables, in particular their symmetries and large-scale behavior. Specific topics are exchangeability and other invariance properties, geometry in learning problem, the universality regimes of ergodic averages, random graphs and random structures, problems involving many particles in physics, and hierarchies of latent variables. These all turn out to be more closely related than it may seem at first glance.
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
- Hugh Dance • PhD student
- Kevin H. Huang • PhD student
- Vasco Portilheiro • PhD student
- Vince Velkey • PhD student
Former PhD students and postdocs
- Morgane Austern • Assistant Professor • Harvard University
- Benjamin Bloem-Reddy • Assistant Professor • University of British Columbia
- Lee M Gunderson • Postdoc • UCL
- Victor Veitch • Assistant Professor • University of Chicago
- Wenda Zhou • Researcher • OpenAI