Past members

Jan-Peter Calliess

Mini Bio   NEWS: Starting May 2017,  I will join the Oxford-Man Institute and the Department of Engineering Science at Oxford as a Senior Research Fellow. From November 2014-April 2017 I was a research associate at the Engineering Department at the University of Cambridge. Predominantly working at the intersection of machine learning and control, I am […]

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Paul Rubenstein

Paul graduated from the University of Cambridge with a BA in Mathematics and an MPhil in Computational Biology. He then received an MSc in Computational Statistics and Machine Learning from UCL, where he worked with Arthur Gretton for his thesis. He joined the group as a PhD student in 2015 through the Cambridge-Tuebingen programme and […]

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Mark Rowland

I’m a Research Scientist at DeepMind. I’m interested in many areas across machine learning, statistics, probability, and optimisation, and interactions with areas of pure maths such as group theory and optimal transport theory. To date, I’ve worked on areas including inference problems for discrete graphical models, Monte Carlo methods (particularly over non-Abelian groups), reinforcement learning, […]

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Matthias Bauer

Matthias Bauer graduated with an M.Sc. in Physics from University of Munich and a Master of Advanced Studies in Physics from Cambridge University. He went on to work as a research assistant in the Statistical and Biological Physics group at the University of Munich. He joined the Cambridge-Tübingen PhD programme in 2015 and is funded […]

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Matej Balog

Matej Balog graduated from Merton College, University of Oxford with the degree Master of Mathematics and Computer Science. He joined the group in 2015 as a PhD student on the Cambridge-Tübingen Machine Learning programme. He is funded by the EPSRC and the Qualcomm European Research Studentship Fund.

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Gintare Karolina Dziugaite

My personal webpage has moved. You may now find Gintare Karolina Dziugaite‘s page here. I am a member of King’s College and joined Zoubin Ghahramani’s group in Spring 2014 as a PhD student. Before that, I studied Mathematics at Warwick University and read Part III in Mathematics at Cambridge, receiving a Masters in Advanced Studies […]

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Mateo Rojas-Carulla

Mateo Rojas-Carulla graduated with an MSc in Mathematical Engineering and Computer Science from Ecole des Ponts ParisTech and a Master of Advanced Study in Mathematics from Cambridge. He went on to work as an equity quantitative analyst at Credit Suisse, then as an engineer in Cantab Research, where he developed recurrent neural networks for language modelling. […]

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Nilesh Tripuraneni

Nilesh Tripuraneni graduated from Harvard with a B.A. in Physics. Before joining the Machine Learning Group at Cambridge, he worked at machine learning start-ups in Boston on problems in natural language processing and probabilistic programming. At Cambridge, he is funded by an overseas studentship from Trinity College. He is particularly interested in approximate inference, and […]

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Adam Ścibior

Adam Ścibior received a BA in Computer Science from Cambridge and MSc in Physics from Adam Mickiewicz University in Poznan. He is a PhD student on the Cambridge-Tübingen programme, jointly supervised by Prof Zoubin Ghahramani in Cambridge and Prof Bernhard Schölkopf in Tübingen. He is funded by the Cambridge-Tübingen PhD fellowship, Cambridge European Trust and EPSRC. Personal […]

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Felipe Tobar

Felipe A. Tobar received the B.Sc. (2008) and M.Sc. (2010) degrees in Electrical and Electronic Engineering from Universidad de Chile and the Ph.D. in Signal Processing at Imperial College London (2014). Felipe is currently a Research Associate at CBL working with Dr Richard E. Turner and his research interests lie within the interface between signal processing […]

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Shane Gu

Shixiang (Shane) Gu received a B.ASc. in Engineering Science from the University of Toronto, where he did his undergraduate thesis with Professor Geoffrey Hinton on distributed training of neural networks. He then worked in Silicon Valley prior to joining the lab. He is jointly funded by the Cambridge-Tübingen PhD Fellowship, NSERC, and Google Focused Research […]

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Amar Shah

Please click here for my personal page. Amar Shah joined the group in 2012 after working as a Quantitative Strategist at Goldman Sachs. Before this he obtained a BA and an MMath in Mathematics, also from Cambridge University. His research interests lie in Bayesian nonparametrics, in particular he studies the beta and Bernoulli processes and […]

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