Computational Perception Group

home | members | publications | directions | research | presentations | teaching | vacancies | personal

Lab members

Rich photo Richard Turner holds a Lectureship (equivalent to US Assistant Professor) in Computer Vision and 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.

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 is currently a PhD student supervised by Dr. Richard Turner and Dr. Carl Rasmussen. He is funded by CAPES and the Cambridge Overseas Trust and his current research interests are in the area of Bayesian changepoint detection and control.
Yingzhen photo

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

In her undergrad years she worked on projects of data mining, including social network analysis and short-text analysis.

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.

His current research interest is probabilistic methods for signal processing.

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.

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.

James photo

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..

Former members

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.

 
This site is powered by FoswikiCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Foswiki? Send feedback