I’m a research engineer and data scientist with a background in neuroscience, machine learning, and systems-level software. I build AI systems that are grounded in science but engineered for the real world — from optimizing deep learning models on custom hardware to developing production-grade ML pipelines for mobile and wearable platforms.

I currently lead data science at ActiGraph, where I focus on deploying based on heuristics, machine learning, and deep learning, to extract digital health insights from sensor data. Before that, I headed data science for Biogen’s Konectom platform, where I led the development of smartphone-based digital measures to monitor neurological conditions.

I previously co-founded SPiKE.AI, worked on quantization and CNN acceleration at Mipsology, and held research roles at Imperial College London and UCL. I’m especially passionate about bridging the gap between research and engineering — building models that don’t just work in notebooks, but scale, integrate, and deliver impact.