I am currently a Chancellor’s Fellow, a tenure-track academic position at the University of Edinburgh with a rich and diverse experience of biomedical and clinical engineering. I have co-authored 23 peer-reviewed journal papers (includes The Lancet, Brain, BMJ Open, Thorax, IEEE Transactions, JMIR, JACI), 10 peer-reviewed conference papers and I am an inventor in 2 patent file applications. I have completed my DPhil and MSc, both from the University of Oxford, in Biomedical Engineering. My experience includes intelligent algorithm development (including extensive signal processing and machine learning theory and implementation), data mining large electronic health records to study chronic conditions (COPD, asthma) and digital health system design. I lead the DIME group (Data-driven Innovation in MEdicine) based in the Usher Institute, Edinburgh Medical School. To find more about my work, visit our research group website (dimeresearch.com)

What's your area of expertise?

Signal Processing: time-series analysis, time and frequency-domain analysis, filtering

Machine Learning: Supervised Learning (Classification, Regression), Unsupervised Learning (Clustering), Dimentionality Reduction (e.g. PCA), Data Exploration and Visualisation (e.g. Neuroscale visuallisation using neural networks), Model Selection, Preprocessing

Tools: MATLAB, R, Scikit Learn (Python)

How could this be applied to the outside world?

Any company/research group that has lots of data and they want to make use of that to build intelligent algorithms to help in their business or research. I can also undertake training workshops to train staff in Data Science.

Who would be interested in you? 

I am open to all sorts of industries who has data and are keen to make use of data to achieve an objective. My personal research experience has mostly been in healthcare but I have undertaken some projects which are in different domains.