I am a Lecturer in Computer Science with the Risk and Information Management (RIM) group at QMUL. Previously, I coordinated the behaviour monitoring work package for the SAMURAI EU FP7 project at QMUL ('08-11). During my PhD, I worked with Sethu Vijayakumar in the Statistical Machine Learning and Motor Control group and Edinburgh's IPAB and ANC institutes.
My background spans informatics & neuroscience (PhD Neuroinformatics, Edinburgh, 2008; MSc Neuroinformatics, Edinburgh 2004), machine learning (MSc Informatics, Edinburgh, 2003) and computer science (BA Computer Science, University of Cambridge, 2002).
My academic interests include probabilistic modelling and machine learning: applied variously to interactive learning, structure learning, data mining, computer vision, behaviour understanding, data fusion, robotics, motion-capture, novel human-computer interfaces and theoretical neuroscience.
08/2013: Paper accepted to ICCV 2013
08/2013: Paper accepted to IEEE PAMI
10/2013: Yongxin Yang joins our lab
05/2014: EPSRC Grant Awarded
06/2014: 3x Papers accepted to ECCV 2014
07/2014: 2 papers on Open World Re-identification
06/2014: 3x Fully funded PhD positions available starting Autumn 2014.
1. Studentship in Intelligent Sensing. [Closed].
2. Studentship in Machine Intelligence.
06/2014: 1x Postdoc position available starting Autumn 2014. Email me for informal inquiry
MSc, Neuroinformatics, University of Edinburgh, 2004
Thesis: Functional Organization & Plasticity in the Vestibulo-Ocular Reflex
Advisor: Mayank Dutia
MSc, Informatics, University of Edinburgh, 2003
Thesis: Optimal Learning in Neurons with Active Dendritic Spines
Advisor: David Barber
BA, Computer Science, University of Cambridge, 2002
Dissertation: A Probabilistic Approach for Commodity Eye-Tracking
* Best Dissertation Prize, University of Cambridge Computer Laboratory
* UK SET Computer Science Student of the Year Award
Advisor: David Mackay
Visit my Google Scholar Profile.