I'm an interdisciplinary data scientist working at the intersection of quantitative social science, technology and the built environment. 

My one passion is to build better communities. I love cities, communities and Human computer interaction. I build better interactions for complex systems. I’ve helped make services, software, smart cities and strategic plans in Upstate New York, Harvard, London, SoCal and NYC  ... and a few more things.

I work at Skwire, a tech-first real estate company building self-learning AI trained on 150m data points to help create better homes for people and communities. My work combines Geographic machine learning, Natural Language Processing and Computer Vision.

I studied the Quantitative Geography with Study Abroad  program at the University of Bristol and completed a sabbatical abroad at the University of California.

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What’s on my desk?

Geographic machine learning to predict  accessibility for ethnic minorities in LA. Interfaces for seeing social network dynamics within guardianship communities in east London. Human-Robot interaction through real-world playing using computer vision.  Geo-semantic research networks exploring the geographic extent of UCSB PhD research. A new venture building AI-powered modular pavers as a powerful and cost-effective form of adaptable street infrastructure.

Curious? Check out some of my work:

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