About

I build AI systems that help organisations understand how work is changing and what to do about it.

As Director of Data Science at the Burning Glass Institute, I lead development of products that combine machine learning models, knowledge graphs, and optimisation algorithms with real-time labour market data. The goal: help companies and governments make better workforce decisions.

My research has been at the intersection of labour economics and data science. I have a PhD in Computer Science where I applied machine learning to labour market dynamics — studying how people move between jobs, where skills shortages emerge, and how AI adoption ripples through industries. That work has appeared in peer-reviewed journals and policy outlets, including collaborations with the OECD and United Nations.

Before this, I've worked across AI startups, impact investing, and applied research. The thread connecting it all: I'm interested in how technology reshapes economic opportunity and how we can steer that toward better outcomes.