 
Lab members

  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.

 
 
 
 
  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 Li graduated with a B.S. in mathematics from Sun Yatsen University, Canton, China.
In her undergrad years she worked on projects of data mining, including social network analysis and shorttext analysis.

 
 
 
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.

 
 
 
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 CambridgeTübingen PhD programme. He is funded by the CambridgeTübingen PhD Fellowship, KennethSutherland Memorial Scholarship from Jesus College, the ALTA Institute, and donation from Facebook.

 
 
 
Mateo RojasCarulla 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 CambridgeTübingen PhD program in machine learning funded by a CambridgeTübingen 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 Requeima graduated with an MPhil in Machine Learning, Speech and Language Technology from the University of Cambridge.

 
 
 
 
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..

 
 