Faculty

Richard Turner

My research lies at the interface between computer perception (which builds artificial systems for understanding images, sounds and videos), neuroscience (which tries to understand the brain) and machine-learning (which provides a theoretical framework for learning from data). The goal is to develop systems that solve important problems, drawing inspiration from the brain. For example, figuring [...]

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Carl Edward Rasmussen

I have very broad interests in probabilistic inference in machine learning, covering both unsupervised, supervised and reinforcement learning. I’m particularly interested in design and evaluation of non-parametric methods such as Gaussian processes and Dirichlet processes. Exact inference in these models is often intractable, so one needs to resort to approximation methods, such as variational techniques [...]

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Zoubin Ghahramani

I studied Computer Science and Cognitive Science at the University of Pennsylvania and obtained my PhD from MIT in 1995. From 1995 to 1998, I was a Postdoctoral Fellow at the University of Toronto, working with Geoff Hinton. I was one of the founding faculty members of the Gatsby Computational Neuroscience Unit at UCL (1998-2005) [...]

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José Miguel Hernández Lobato

Since Sep 2016, I am a University Lecturer (equivalent to US Assistant Professor) in Machine Learning at the Department of Engineering in the University of Cambridge, UK. I was before a postdoctoral fellow in the Harvard Intelligent Probabilistic Systems group at the School of Engineering and Applied Sciencies of Harvard University, working with the group [...]

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Post-docs

Manon Kok

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Tameem Adel

I am a research fellow in the Machine Learning Group at University of Cambridge, working with Prof. Zoubin Ghahramani and Dr. Adrian Weller. Before that, I was a postdoctoral researcher at the Amsterdam Machine Learning Lab (AMLAB), advised by Prof. Max Welling. I have obtained my PhD from University of Waterloo in 2014, advised by [...]

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Francisco J. R. Ruiz

Francisco J. R. Ruiz is a Postdoctoral Research Scientist with David Blei at the Data Science Institute and the Department of Computer Science at Columbia University, and with Zoubin Ghahramani at the Engineering Department of the University of Cambridge. He currently holds a Global Marie Curie Fellowship in the context of the E.U. Horizon 2020 [...]

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Robert Peharz

I am a Research Associate in the Machine Learning Group at the University of Cambridge, working with Prof. Zoubin Ghahramani. I am generally interested in the wide field of probabilistic modeling, as this is arguably the approach to reason under uncertain knowledge. In particular, I am interested in methods which aim to strike a sensible [...]

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Cuong Viet Nguyen

Cuong V. Nguyen received the B.Comp. and PhD degrees in Computer Science both from the School of Computing, National University of Singapore. Before joining the University of Cambridge, he was a Research Fellow at the Faculty of Engineering, National University of Singapore. His main research interests include both theoretical and practical aspects of machine learning, [...]

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Maria Lomeli

I work with Zoubin Ghahramani at the CBL group, University of Cambridge. I studied my PhD at the Gatsby Unit, my supervisor was Yee Whye Teh. Before coming to the UK, I did an MSc in Mathematical Sciences at IIMAS, Universidad Nacional Autónoma de México, advised by Ramsés Mena, My main research interests are: Bayesian [...]

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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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Hong Ge

Hong received his MSc in Artificial Intelligence at the University of Edinburgh, following his BEng in Computer Science from the Huazhong University of Science and Technology. He is a member of the Department of Applied Mathematics and Theoretical Physics, jointly supervised by Prof. Zoubin Ghahramani and Dr. Eleftheria Zeggini.

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Christian Steinruecken

Christian is currently completing a PhD in Machine Learning/Artificial Intelligence from the Department of Physics, supervised by Prof. David MacKay, and received a BA in Computer Science from the Computer Laboratory.

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Alexander G. de G. Matthews

Alex is a PhD student in the Machine Learning Group supervised by Zoubin Ghahramani. He is interested in Bayesian nonparametric machine learning, particularly Gaussian processes and spatial point processes. He is also interested in approximate Bayesian inference, particularly variational methods, Markov chain Monte Carlo methods and belief propagation.

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Graduate Students

Wenbo Gong

Wenbo obtained his MPhil degree in Machine Learning, Speech and Language Technology from University of Cambridge in 2017. Before that, he graduated with a BA and MEng in Information and Computing Engineering from University of Cambridge. He joined the MLG as a PhD Candidate in Oct. 2017 supervised by Dr. José Miguel Hernández-Lobato. He is [...]

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Jonathan Gordon

Jonathan graduated from Cambridge University with a MPhil in Machine Learning, Speech and Language Technology in 2017. Before that he graduated with a BSc and MSc in engineering and applied statistics from the Ben-Gurion University of Israel. He is funded by a Samsung doctoral studies grant and supervised by Dr. José Miguel Hernández-Lobato. His research [...]

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John Bronskill

John Bronskill is a PhD student in the Machine Learning Group at the University of Cambridge supervised by Richard Turner and Sebastian Nowozin. He received a Bachelor’s degree and a Master’s degree in Electrical Engineering from the University of Toronto.

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Siddharth Swaroop

Siddharth graduated with a Master’s in Engineering from the University of Cambridge in 2017. He joined the group as a PhD student in October 2017, supervised by Dr Richard Turner. He is funded by EPSRC. His interests are broad, and include Approximate Inference techniques.

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Robert Pinsler

Robert received his M.Sc. in Computer Science in 2017 from the Technical University of Darmstadt, where he worked with Prof. Gerhard Neumann, Prof. Jan Peters and Prof. Stefan Roth. He joined the group as a Ph.D. student in October 2017. He is supervised by Prof. Carl Rasmussen. His research interests include reinforcement learning and Bayesian [...]

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Marton Havasi

Marton has received his BA in Computer Science in 2016 and his MPhil in Machine Learning, Speech and Language Technology in 2017 from Cambridge University. He joined the group as a PhD student in October 2017. He is supervised by Dr. José Miguel Hernández-Lobato and he is funded by EPSRC. His interests include Bayesian Optimization [...]

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Niki Kilbertus

Niki Kilbertus graduated with a Master’s in Physics and in Mathematics from the University of Regensburg. He worked on numerical simulations of early universe cosmology with Tom Abel and William East at Stanford, high energy particle physics with Paul Chesler and Wilke van der Schee at Harvard, and causal fermion systems. He joined the Cambridge-Tübingen [...]

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Alessandro Davide Ialongo

Alessandro completed a BA in Philosophy before moving on to a Master’s degree in Machine Learning at UCL. Continuing the work of his Master’s thesis, he spent one year at the Gatsby Computational Neuroscience Unit working with Professor Sahani on latent variable dynamical systems. Prior to joining the Cambridge-Tübingen Machine Learning group in October 2016, [...]

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John Bradshaw

John Bradshaw graduated with a Master’s of Engineering from the University of Cambridge in 2015. After working for a year in a startup that applied deep learning to industrial problems he joined the group as a PhD student in 2016. He is funded by the EPSRC. His email address is jab255 -at- cam.ac.uk

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David Janz

David graduated from the University of Oxford with an MEng in Engineering, Economics and Management in 2016, having worked with Frank Wood and Jan-Willem van de Meent for his master’s research project. He joined the group as a PhD student later that year, looking to explore themes around generative modelling, automated and interpretable machine learning, [...]

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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

Mark Rowland graduated from Cambridge University with a BA and MMath in 2013, having specialised in probability and group theory. Before starting his PhD he worked as an actuarial consultant, and has recently interned with the machine learning group at a systematic trading firm. He is funded by an EPSRC studentship at the Cambridge Centre [...]

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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

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 in Applied Mathematics. My PhD is funded by the EPSRC. My research interests include [...]

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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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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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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, Facebook, Kenneth-Sutherland Memorial Scholarship from [...]

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Alexandre Khae Wu Navarro

Alexandre is currently a PhD student supervised by Dr. Richard Turner and Dr. Carl Rasmussen. His main research interest lies in the intersection between Directional Statistics and probabilistic Machine Learning, both in fundamental and applied research. He is also interested in variational methods, causal inference, partially-observed Markov processes (encompassing change-point models). For an overview of [...]

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Yingzhen Li

Yingzhen received a Bacholar degree in Mathematics from Sun Yat-sen University in China. She joined the group in Oct 2013, supervised by Dr. Richard Turner and funded by Schlumberger Foundation. She is mainly interested in approximate inference algorithms. In general she has broad interests in topics including deep learning, transfer learning, information theory, and optimization.

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Thang Bui

Thang received a B.Eng in Telecommunications Engineering from The University of Adelaide, Australia. He joined the group in October 2013, supervised by Richard Turner. He is interested in probabilistic methods for signal processing.

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Mark van der Wilk

Mark received an MEng in Information and Computer Engineering from the University of Cambridge in 2012, after moving to Cambridge from the Netherlands to study Engineering in 2008. He joined the group in October 2012, supervised by Carl Rasmussen and is funded by an EPSRC Doctoral Training Award. He is a member of Jesus College.

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Rowan McAllister

Rowan McAllister received a B.Eng, B.Sci. and M.Phil in Mechatronics Engineering from the University of Sydney. He started his PhD in October 2012 with Carl Rasmussen and is funded by the University of Sydney and Kings College.

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Sébastien Bratières

I received my “Ingénieur” degree from Ecole Centrale Paris, and an MPhil in Computer Speech and Language Processing from the University of Cambridge in 2001. I have been working in the speech industry ever since, and started my PhD on a part-time basis in 2009. In my professional life, I am the resident Speech Evangelist [...]

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