I develop and apply novel time-series, signal processing, pattern recognition, and statistical machine learning algorithms to provide insight into data and address unmet needs (primarily in the healthcare domain). My algorithms are directly driven by and validated on complicated real-world problems, providing insight and facilitating interpretation of the underlying key mechanisms of the modeled system. My work is inherently multi-disciplinary, collaborating with industrial partners and colleagues from diverse backgrounds worldwide.

Indicative applications include longtidutinal telemonitoring of chronic diseases, natural language processing, data fusion, multi-sensor processing, biomechanics, and betting strategy optimisation.