I am a Lecturer in Artificial Intelligence in the Department of Computer Science and a member of the Nature Inspired Computing and Engineering (NICE) Group. Prior to joining Surrey, I was a Postdoctoral Research Assistant in Machine Learning working with Steve Roberts in the Machine Learning Research Group, University of Oxford. I was also a Junior Research Fellow at the Wolfson College, University of Oxford. I completed my Ph.D. in electrical engineering with Mark Coates at McGill University in Montréal, Canada.
My research interests are in the areas of machine learning and statistical signal processing. I have a particular interest in designing Bayesian and Monte Carlo inference techniques effective in high-dimensional spaces. I have applied machine learning and signal processing techniques to diverse problem domains including environmental acoustic detection, device-free target tracking in sensor networks, and microwave breast cancer detection.
Areas of specialism
Bayesian inference; Monte Carlo sampling; Statistical machine learning
I am actively looking for PhD students with a strong interest and background in deep learning and Bayesian inference. Please contact me if you are interested in working with me.
In the media
I am interested in foundational machine learning topics motivated by applications aiming to improve human life and environment. I am currently working on improving the ability of deep neural networks to quantify uncertainty in their predictions, which can benefit vast data science domains, from disease diagnostics to autonomous driving. My work on Monte Carlo sampling and Bayesian classifier fusion has found applications in microwave breast cancer detection, device-free people tracking for smart home, and malaria-vectoring mosquito detection using low-cost mobile phones. My research is impact-driven and received media coverage from MIT Technology Review, Digital Trends, New Scientist, The Guardian, BBC, among other venues.
I will teach COM1033: Foundations of Computing II in 2018/19.
I am a Year 1 (undergraduate) Coordinator and Personal Tutor in 2018/19.