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 am a postgraduate student and US-UK Fulbright Scholar at MIT, where I am interested in the mathematical modeling of human mobility and its applications to climate change in cities. Alongside my studies, I am cofounding a UNICEF-backed venture called AQAI delivering hyperlocal air pollution models for governments, industry and humanitarian orgs using machine learning. I was previously a research scientist at The Alan Turing Institute, the UK's National Institute for AI and Data Science.

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

︎

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:

︎