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I am a data scientist and a computational astrophysicist. My PhD research work was in large-scale numerical simulations of star formation and I implemented 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.

I currently work as the Chief Data Scientist at Paladin:Paradigm, an aerospace analytics startup based in Montreal, QC, that I co-founded. We are designing the first data-driven adaptive training platform for next-generation pilots using data mining techniques and machine learning.