Past members

Andrew Gordon Wilson

I have broad interests in statistics and machine learning. I am especially interested in developing new stochastic processes and incorporating them into Bayesian nonparametric models.  My name is linked to my homepage, which has a list of publications, contact information and CV.

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John P. Cunningham

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James Lloyd

James joined the group in 2011 after working as a management consultant at the Boston Consulting Group. Before that, he received a B.A. in mathematics and M.Phil in statistics from the University of Cambridge. His interests lie in the application of Bayesian and nonparametric statistics to machine learning.

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Peter Orbanz

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David Duvenaud

David Duvenaud is a 4th-year Ph.D. candidate whose research interests include causal inference, Gaussian process modeling, reinforcement learning, and machine vision.  Before coming to academia, he co-founded Invenia, a company which uses machine learning to forecast energy production and demand for utilities.

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Roger Frigola

Roger Frigola: Consulting in Data, Models and Optimization. www.rogerfrigola.com                

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Creighton Heaukulani

Creighton received an MA in Statistics from Yale University supervised by Andrew Barron and Sekhar Tatikonda, following a BA in Mathematics from the University of Virginia. He also read Part III Mathematics at Cambridge before joining the lab. He is the current Stephen Thomas scholar at Queens’ college, funded via the Cambridge Trusts.

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Ed Snelson

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Ferenc Huszár

Ferenc joined the group in 2009 after completing his degree in Computer Science in Hungary. He works on Bayesian kernel machines, approximate inference, active learning, and applications in cognitive science and quantum tomography.

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Andrew McHutchon

  Before starting my PhD I took the MEng course at Cambridge and specialised in Information Engineering in my third and fourth year. In particular I studied control, bioinformatics, and some information theory and statistics. As part of the MEng year I undertook a research project with Carl Rasmussen, on applying Machine Learning techniques to [...]

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David Knowles

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Konstantina Palla

Konstantina received a MA in Informatics from the University of Edinburgh, following her undergraduate studies in Electrical and Computing Engineering in the National and Technical University of Athens. She is interested in non-parametric Bayesian methods and models.

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