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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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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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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Matthew W. Hoffman

Matt received his Ph.D. in Computer Science from the University of British Columbia in 2013 following a B.Sc. in CS and Math from the University of Washington. He joined the group as a Research Associate (postdoc) in July of 2013. His research interests focus on probabilistic methods of decision making both in terms of long-term [...]

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Daniel Hernández Lobato

My research interests are in the field of machine learning with an emphasis in linear Bayesian approaches that incorporate the assumption of sparsity. Since November 2009 to September 2011 I worked as postdoc researcher in the Machine Learning Group of the ICTEAM of the Université catholique de Louvain. Specifically, in the research project “Rheumagene”. This project tries to obtain [...]

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Yutian Chen

Yutian Chen joined the machine learning group as a research associate (Postdoc) in August 2013. He earned his B.E. of Electronic Engineering from Tsinghua University in China in June 2007 and Ph.D. of Computer Science from University of California, Irvine in the United States in June 2013. His research interests lie in the areas of [...]

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Maxim Rabinovich

Maxim Rabinovich received an AB (with Highest Honors) in Mathematics from Princeton in 2013. There, he worked with David Blei on context-sensitive topic modeling. At Cambridge, where he is supported by the Overseas Trust, he is a student of Zoubin Ghahramani. His primary research interests are in machine learning and natural language processing; he is [...]

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Antonio Artés-Rodríguez

I received the Ingenierio de Telecomuniacion and Doctor Ingeniero de Telecomunicacion both from the Universidad Politécnica de Madrid, Spain, in 1988 and 1992, respectively. I have been Associate Professor at Universidad de Vigo, Universidad Politécnica de Madrid, and Universidad de Alcalá, and since 2002 I am a Professor at the Department of Signal Theory and [...]

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Jes Frellsen

Jes received his PhD in Bioinformatics from the University of Copenhagen with Dr. Thomas Hamelryck as his main supervisor. He also hold a  BSc in mathematics and computer science and a MSc in Bioinformatics. After his PhD he was a postdoc with Professor Anders Krogh in Copenhagen. He joined the Cambridge Machine Learning group as [...]

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David Lopez-Paz

I work with Zoubin Ghahramani on the development of statistical methods able to unsupervisedly extract causal knowledge from data. For updated information, visit lopezpaz.org.

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Yarin Gal

Yarin received an MSc in Computer Science from the University of Oxford, supervised by Dr. Phil Blunsom. Prior to his MSc, he worked as a software engineer for three years at IDesia Biometrics and he did his undergraduate in Mathematics and Computer Science at the Open University in Israel. He is funded by the Europe Google Doctoral Fellowship.

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Colorado Reed

Colorado received a BSc in Applied Physics: Computer Science from the University of Iowa. He has interned with the Machine Learning Group at JPL as well as the LIGO group at Caltech. His previous research was mainly in experimental high energy physics and astrophysics. He is an MPhil student with Zoubin Ghahramani funded by the Churchill Scholarship.

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