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

Gregor Simm

I am a postdoctoral fellow working with José Miguel Hernández-Lobato on Bayesian optimization to accelerate the discovery of novel materials and chemical reactions. My research is supported by an Early Postdoc.Mobility fellowship of the Swiss National Science Foundation. From 2015 to 2018, I was pursuing my Ph.D. in theoretical chemistry under the supervision of Markus […]

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Yichuan Zhang

I am a post-doc researcher working on statistical inference, undirected graphical models, deep generative models and data cleaning related applications. My major theoretical interest of research is focused on the mathematical foundation of machine learning and general intelligent systems. I am also enthusiastic about general probabilistic programming and software systems for industrial machine learning applications. […]

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Kristoffer Stensbo-Smidt

I am a postdoctoral researcher and Marie Skłodowska-Curie Individual Fellow at the Machine Learning Group, University of Cambridge. I received my PhD from the University of Copenhagen, where I subsequently worked as a postdoc. The fields of probabilistic machine learning and statistics broadly define my research interests, and I am particularly enthusiastic about models that […]

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Eric Nalisnick

I am a postdoctoral researcher at the Cambridge Machine Learning Group. My research interests lie broadly within probabilistic machine learning and statistics. Of late, I’ve been working on priors for Bayesian neural networks and critiquing deep generative models. I completed my PhD under the supervision of Padhraic Smyth at the University of California, Irvine. I’ve […]

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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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Christian Steinruecken

Christian Steinruecken is a post-doctoral researcher in machine learning, working on the Automatic Statistician Project with Prof Zoubin Ghahramani.

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Graduate Students

Elre Oldewage

Elre joined the PhD program in October 2018. She is supervised by Richard Turner and advised by Adrian Weller. She previously studied at the University of Pretoria, South Africa, where she completed her BSc, BSc(Hons) and MSc in Computer Science, as well as a BSc (Hons) degree in Mathematics. She is a member of Churchill […]

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Jonathan So

Jonathan is a PhD student in the machine learning group under the supervision of Richard Turner, and is funded by the Harding Distinguished Scholarship Programme. After graduating from the University of Kent with a BSc in Computer Science, Jonathan spent several years working in finance as both a systems programmer and trader. He later studied […]

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James Allingham

I am a PhD student in the Machine Learning Group at the University of Cambridge, supervised by José Miguel Hernández-Lobato, and a member of Darwin College. Before starting the PhD, I was a consultant for Wolfram Research where I helped develop the deep learning library for Mathematica. I hold an MPhil in Advanced Machine Learning […]

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Javier Antorán

Originally from Zaragoza, Spain, Javier graduated from the University of Zaragoza in Telecommunications Engineering (EE/CS) in 2018. Javier went on to receive an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge in 2019. Following this, he joined the group as a PhD student in 2019, under the supervision of Dr. José […]

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Umang Bhatt

Umang is a PhD student in University of Cambridge’s Machine Learning Group supervised by Adrian Weller. He completed a joint bachelors-masters in Electrical and Computer Engineering at Carnegie Mellon University, where he was advised by José Moura and worked with Pradeep Ravikumar and Zico Kolter. He is funded by the Trust and Transparency Initiative at […]

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Austin Tripp

Austin is a PhD student in the Cambridge Machine Learning group, researching machine learning with a focus on scientific applications (especially chemistry and materials). He received a BASc in nanotechnology engineering from the University of Waterloo in Canada. He is funded by a C.T. Taylor scholarship from the Cambridge Trust.

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Yen-Chen Wu

Yen-Chen is a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Prof. Carl Edward Rasmussen. He received an BSc and MSc in Electrical Engineering from National Taiwan University. He is funded by Cambridge Trust. His work is about model-based reinforcement learning for spoken dialogue systems.

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David Janz

I’m a PhD student, supervised by José Miguel Hernández-Lobato and Zoubin Ghahramani. I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. My core interests are: exploration in reinforcement learning, Bayesian optimisation and bandits.

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Erik Daxberger

Hi, I’m Erik! I’m a first-year PhD student in the Cambridge-Tübingen programme. I’m currently based at the University of Cambridge, where I’m supervised by José Miguel Hernández-Lobato. I have a broad interest in machine learning, and am currently focusing on Bayesian deep learning and Bayesian optimization. Before starting my PhD, I obtained a Masters degree […]

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Ushnish Sengupta

I am a Marie Sklodowska-Curie Early Stage Researcher in the MAGISTER consortium which seeks to utilize machine learning to understand and predict thermoacoustic oscillations in aircraft engines or gas turbines. My job, as I see it, is to serve as a liasion between the probabilistic machine learning group led by my PhD supervisor Professor Carl […]

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Jiri Hron

Jiri Hron joined the PhD programme in October 2017 as a member of Trinity College with financial support of Nokia and EPSRC. He is supervised by Zoubin Ghahramani and advised by Adrian Weller. Google Scholar

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Julius von Kügelgen

Originally from Hamburg, Germany, Julius studied Mathematics (MSci) at Imperial College London and Artificial Intelligence (MSc) at UPC Barcelona and TU Delft. He joined the Cambridge-Tübingen programme in October 2018 where he is supervised by Adrian Weller in Cambridge and Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. He is funded […]

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Wessel Bruinsma

Hey! I am a PhD student at the Machine Learning Group at the University of Cambridge, supervised by Dr Richard Turner, and a member of Christ’s College. Previously, I was a machine learning researcher for Invenia Labs; they solve problems in the fields of machine learning, finance, electricity systems and markets, and complex systems. […]

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Andrew Foong Yue Kwang

Andrew is a PhD student in the Machine Learning Group supervised by Dr Richard Turner, starting in October 2018. He received his BA and MEng in Information and Computer Engineering from the Cambridge University Engineering Department in 2018. He is funded by the Trinity Hall Research Studentship and the George and Lilian Schiff Studentship. His […]

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Will Tebbutt

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Chao Ma

I am a PhD student in the Machine Learning Group at the University of Cambridge since 2018. I have a broad interest in the field of probabilistic machine learning, especially Bayesian approximate inference methods, Bayesian deep learning, and Gaussian processes. Previously I received BSc in mathematics and a MRes in machine learning and computational statistics […]

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Ross Clarke

Ross received the BA and MEng degrees in Engineering from the University of Cambridge, specialising in Information and Computer Engineering. His Part IIB Project, Parallelising Sequential Monte Carlo, was completed under the supervision of Dr Sumeetpal Singh in the Signal Processing and Communications Lab. He joined the Machine Learning Group as a PhD student in […]

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David Burt

David received an MPhil in Machine Learning, Speech and Language Technology from Cambridge University in 2018. Prior to this, David received a BA in Mathematics from Williams College. David began his PhD in 2018 and is supervised by Prof. Carl Rasmussen. David is funded by a Dr. Herchel Smith Fellowship. David is interested in Bayesian […]

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Sebastian Ober

Sebastian is a PhD student in the Machine Learning Group supervised by Prof. Carl Rasmussen. He joined in October 2018, after completing his BA and MEng in Information and Computer Engineering at the Cambridge University Engineering Department. He is funded by a Gates Cambridge Scholarship, and his research interests include approximate inference, Bayesian deep learning, […]

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Chaochao Lu

Chaochao Lu is a PhD student of Machine Learning Group at the University of Cambridge, where he is co-supervised by Prof. Zoubin Ghahramani and Prof. José Miguel Hernández-Lobato, advised by Prof. Carl Edward Rasmussen, and also jointly supervised by Prof. Bernhard Schölkopf and Dr. Michael Hirsch at the Max Planck Institute for Intelligent Systems under […]

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Adrià Garriga-Alonso

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 […]

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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 Machine Learning Group, in CBL, in October 2017 as a PhD student, supervised by Dr Richard Turner. He is funded by EPSRC. His research focusses on approximate Bayesian inference techniques, usually variational inference, applied to a variety of […]

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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 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 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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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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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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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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