Research
Broadly, our work in the lab can be divided into 6 overlapping themes, each encompassing one or more aspects of human-in-the-loop machine learning:
Human Ethomics
RL in Healthcare
Neurotechnology
Human-Robot Interaction
Digital Biomarkers
Real-World Neuroscience
We record or obtain data of behviour in real-world environments, to fully capture the variance and richness of natural human actions.
We take a data-driven approach to analyse the high-dimensional data we record, often accross complex action spaces.
We build data-driven models from these datasets, to gain insight into human behaviour in both health and disease.
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