Analyzed chronic pain patient high-dimensional brain data using graph-theoretic measures to predict pain and fatigue levels from insular cortical networks.

Algorithmic modelling of addiction as drug-induced hijacking of a hierarchical reinforcement learning algorithm

Developed a toolbox for quantifying synchronization in multi-variate time-series data.

Developed a computer vision pipeline to track movements from handheld video, securing £3,000 in funding for healthy subject and patient trials

Prepared a suite of mobile-based cognitive tests for pain patients whose behaviour can be modelled using reinforcement learning algorithms

Developed a multimodal deep learning model enriched with targeted features for early Alzheimer’s detection from speech, achieving a 6.25% improvement in accuracy.