About me
I am an Encode Fellow at the University of Cambridge, working at the intersection of AI and Neuroscience. I am interested in:
- Building AI models to improve our understanding of the brain.
- Using our understanding of the brain to build better AI models.
- Clinical translation, e.g. AI-derived sleep biomarkers.
I am fortunate to be advised by a rockstar interdisciplinary team of Hiranya Peiris, Ray Dolan, Miles Cranmer and Andrew Pontzen.
Experience
Previously, I completed my DPhil at the University of Oxford, where I was supervised by Prof. Lord Tarassenko and was part of the AIMS CDT. During my DPhil, I designed, built, and open-sourced world-leading deep learning models for quantitative sleep monitoring from wearables.
At heart, I’m more of an engineer than an academic. I love the technical challenge of designing and building scalable ML systems with real-world impact. Working in industry, I have helped to build multiple AI-enabled medical devices which are now deployed in healthcare systems in the UK and US.
News
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Aug 2025: Awarded an Encode Fellowship.
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June 2024: SleepVST accepted at CVPR 2024 (Highlight Paper).
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May 2024: Paper accepted at the ICLR 2024 Workshop on Learning from Time Series for Health.
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June 2023: Honorable Mention for Best Paper Award at the CVPR 2023 Workshop on Computer Vision for Physiological Measurement.