I am a data scientist and entrepreneur. I’ve worked on problems related to gravitational wave detection, nuclear fusion, and supercomputer simulations of star formation.
My PhD research was in large-scale numerical simulations implementing a novel radiative transfer technique that led to more accurate models of the birth environments of high-mass stars. See my complete list of publications on Google Scholar or NASA ADS. Before that, I studied applied physics & applied mathematics at Columbia University in New York.
I am the Chief Data Scientist & Cofounder of Paladin:Paradigm, an aerospace analytics startup based in Montreal. We are designing the first data-driven adaptive training platform for next-generation pilots using data mining techniques and artificial intelligence.
Outside of startups, I’m keen on impact investing and technology in global health. I’m also an author for O’Reilly Media.