About me
I am an Applied AI/ML scientist at Sanome and an AI researcher at the University of Oxford. I work on translating advances in deep learning into impactful applications in healthcare.
I recently submitted 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, and love the technical challenge of designing and building scalable ML systems. I have expertise across the ML stack using industry-leading open-source tools such as MLFlow and Ray, which I have contributed to. I’ve started documenting the tools I use, including those I’ve built myself, here.
News
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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.