Computational Perception Group

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Lab members

Rich photo Richard Turner holds a Readership (equivalent to US Associate Professor) in Machine Learning in the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, UK. He is a Fellow of Christ's College Cambridge. Previously, he held an EPSRC Postdoctoral research fellowship which he spent at both the University of Cambridge and the Laboratory for Computational Vision, NYU, USA. He has a PhD degree in Computational Neuroscience and Machine Learning from the Gatsby Computational Neuroscience Unit, UCL, UK and a M.Sci. degree in Natural Sciences (specialism Physics) from the University of Cambridge, UK.

His research interests include machine learning, signal processing and developing probabilistic models of perception.

His CV is available here (updated Sep 2018) and full contact details are here.

Shane photo

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 as an R&D Engineer in Panasonic Silicon Valley Lab before joining the Cambridge-Tübingen PhD programme. He is funded by the Cambridge-Tübingen PhD Fellowship, Kenneth-Sutherland Memorial Scholarship from Jesus College, the ALTA Institute, and donation from Facebook.

Mateo photo

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. He has now joined the Cambridge-Tübingen PhD program in machine learning funded by a Cambridge-Tübingen fellowship and the EPSRC.

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Mark Rowland graduated from Cambridge University with a BA and MMath, having specialised in Algebra and Probability. He has previously worked in consultancy as an actuarial analyst and as a quant researcher intern at a systematic trading firm. He is broadly interested in machine learning, probabiltiy and statistics, with particular focus on Monte Carlo sampling. His PhD research is funded by an EPSRC studentship from the Cambridge Centre of Analysis.

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James Requeima graduated with an MPhil in Machine Learning, Speech and Language Technology from the University of Cambridge.

James photo

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, especially active learning and statistical learning theory..

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John Bronskill is a PhD student in the Machine Learning Group at the University of Cambridge supervised by Richard Turner and Sebastian Nowozin. His research interests include machine learning, signal processing, computer vision, and digital imaging. He holds a Bachelor’s degree and a Master’s degree in Electrical Engineering from the University of Toronto. In a previous lifetime, he co-founded ImageWare? Research & Development which built special effects software for digital photos and video. The start-up was subsequently acquired by Microsoft where he spent a lengthy career in various technical leadership and engineering management roles.

Siddharth photo

Siddharth Swaroop graduated with an MEng from the University of Cambridge, having specialised in Information Engineering. He is currently funded by an EPSRC Doctoral Training Award. His research interests within machine learning are broad, but his current focus is approximate inference techniques.
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Will Tebbutt holds an M.Phil. in Machine Learning, Speech and Language Techology from the University of Cambridge and an M.Eng. in Engineering Mathematics from the University of Bristol. He previously worked as a researcher in machine learning at Invenia Labs in Cambridge, and is a member of Darwin College.

His research interests include Gaussian processes, automating Bayesian inference, the application machine learning to climate science, and probabilistic numerics.

Wessel photo

Wessel Bruinsma holds an MPhil in Machine Learning, Speech, and Language Technology from the University of Cambridge and a BSc in Electrical Engineering from the University of Delft. He was previously employed as a machine learning researcher at Invenia Labs in Cambridge, and was part of the TU Delft Solar Boat Team in Delft.

His research interests include probabilistic modelling, with a focus on Gaussian processes, approximate inference, and signal processing. Wessel is a member of Christs's College, and is currently funded by an International Doctoral Scholars (IDS) Grant from the EPSRC.

Former members
Yingzhen photo

Yingzhen Li graduated with a B.S. in mathematics from Sun Yat-sen University, Canton, China.

Her PhD developed a suite of approximate inference algorithms that are both accurate and efficient (in time and space complexities). These were applied to a broad set of tasks across machine learning. She was a member of Darwin College and held a FFTF fellowship from the Schlumberger Foundation.

Yingzhen is now a Researcher at Microsoft Research Cambridge.

Thang photo

Thang Bui graduated with an engineering degree from Adelaide University, Australia. He spent two years working for the same university before moving to Cambridge. He completed a PhD on Gaussian Processes, but also worked on a range of probabilistic modelling approaches including Bayesian Neural Networks and general approximate inference methods.

He is now a Lecturer in Machine Learning and Data Science at the University of Sydney.

Alex photo Alexandre Navarro has worked as an engineer at Oxiteno and has received engineering and masters degrees from the University of Campinas (UNICAMP).

Alexandre was a PhD student supervised by Dr. Richard Turner. He was funded by CAPES and the Cambridge Overseas Trust and his research interests were in the area of machine learning for circular variables. He has taken up machine learning positions at AstraZeneka and Babylon Health.
Felipe photo

Felipe A. Tobar received the B.Sc. (2008) and M.Sc. (2010) degrees in Electrical and Electronic Engineering from Universidad de Chile. He did his Ph.D. Signal Processing at Imperial College London. Felipe was a Research Assistant at CBL with research interests at the interface between signal processing and machine learning, including high-dimensional kernel regression, Bayesian system identification, and nonlinear adaptive filtering. He now holds a CONICYT Research Fellowship in Machine Learning and Signal Processing working in the Center for Mathematical Modeling at Universidad de Chile.
Rosy photo

Rosy Southwell recently graduated with an MSci in Natural Sciences (Biological) from the University of Cambridge. Her undergraduate research included vision and network analysis of the human brain. Worked in the Computational Perception Group as a Research Assistant, developing auditory tests to assess cochlear implants, in collaboration with Bob Carlyon at the Cognition and Brain Sciences Unit. She is now studying for a PhD at UCL.

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