I'm currently the Principal Data Scientist with the City of Boston.
I bring a creative research-oriented perspective to my data science work, drawing on my background in particle physics and experience in the world of conservation policy to drive social impact projects for the city.
Ongoing projects include:
prioritizing restaurant inspections to combat food-borne illness,
natural language processing of 311 service requests,
sentiment analysis of press coverage of the mayor's legislative agenda,
predictive modeling for homeless shelter reform,
and many more!
My physics research has focused on two topics:
Jet physics is the study of collimated sprays of energy produced in particle collisions. Jets are fundamentally useful tools for managing collision products, performing a census on the particles involved, and tracing backward to the interesting dynamics of the collision's origin. I believe constructed objects like jets can serve as a model for other, less spacial, data structures.
Supersymmetry has been developed over the last half-century to address the weaknesses in the Standard Model of particle physics. The theory suggests that each fundamental particle has a partner "super-particle" that can only be observed at very high energies.
My PhD thesis is titled "A search for supersymmetric phenomena in final states with high jet multiplicity at the ATLAS detector".