Welcome.
I am Professor of Machine Learning in the Gatsby Computational Neuroscience Unit at University College London. I work on machine learning, symmetry, and dynamics. Broad themes in my research are:
- Exchangeability, stationarity, and other symmetry properties.
- Mathematical statistics of machine learning methods.
- The intersection of ergodic theory with learning and inference.
- Applications of machine learning to physics and engineering, in collaboration with Ryan Adam's group at Princeton.
- Bayesian inference and inference in random graphs.
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 Cambridge, in the Theory Group at Microsoft Research New England, and at UC Berkeley.
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
• Assistant 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