Past members

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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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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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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Novi Quadrianto

Novi received a PhD in Computer Science at the Australian National University (ANU), Canberra, Australia in 2012. He earned a BEng degree in Electrical and Electronics Engineering at Nanyang Technological University (NTU), Singapore. He is now a Newton Fellow of the Royal Society, and a Junior Fellow of Wolfson College. His research focuses on addressing challenges for Internet applications in the context of machine learning.

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Sara Wade

Sara received a PhD in Statistics from Bocconi University in Milan with Professor Sonia Petrone, and a B.Sc. in Mathematics from the University of Maryland, College Park. She joined the group as a Research Associate (Postdoc) in November 2012.

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Tomoharu Iwata

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