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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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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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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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 [...]
Read more →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 [...]
Read more →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 [...]
Read more →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 [...]
Read more →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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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 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 is a post-doctoral researcher in machine learning, working on the Automatic Statistician Project with Prof Zoubin Ghahramani.
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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.
Read more →Chaochao Lu is a PhD student at the University of Cambridge, where he is co-supervised by Prof. Zoubin Ghahramani and Prof. José Miguel Hernández-Lobato, and also jointly supervised by Prof. Bernhard Schölkopf and Dr. Michael Hirsch at the Max Planck Institute for Intelligent Systems under the Cambridge-Tübingen PhD Programme. Previously he obtained the M.Phil degree [...]
Read more →I am a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Prof. Carl Edward Rasmussen. I received an MSc in Computer Science from the University of Oxford, and a BSc in Computer Science from Universitat Pompeu Fabra, Barcelona. I am funded by the Department of Engineering. My work is [...]
Read more →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 [...]
Read more →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 [...]
Read more →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.
Read more →Siddharth graduated with a Master’s in Engineering from the University of Cambridge in 2017. He joined the Machine Learning Group, in CBL, in October 2017 as a PhD student, supervised by Dr Richard Turner. He is funded by EPSRC. His interests within Machine Learning are broad, and include Bayesian Approximate Inference techniques (when applied to [...]
Read more →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 [...]
Read more →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 joined the Cambridge-Tübingen programme in October 2016 and moved to Cambridge as a member of Pembroke College in October 2017. He is supervised by Carl Rasmussen and Bernhard Schölkopf and his advisor is Adrian Weller. Personal Homepage
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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, [...]
Read more →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
Read more →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, [...]
Read more →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 [...]
Read more →I am a PhD student at Clare College, co-supervised by Rich Turner at the Machine Learning Group and John Aston at Statslab. Before starting my PhD, I studied for a BA and MMath at Cambridge, focusing mainly on Probability and Abstract Algebra courses in the final year. I worked as an actuarial consultant before starting [...]
Read more →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 [...]
Read more →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.
Read more →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 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 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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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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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 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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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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