I am an Applied Scientist II (ML/AI) at Amazon working on the Supply Chain Optimization Technologies team. The science team is dedicated to ensuring billions of items are fulfilled annually through Amazon’s network at optimal speed and cost using advanced machine learning and optimization techniques.

Previously, I completed a PhD in Statistics as a Vanier Scholar at the University of British Columbia under the supervision of Dr. Alexandre Bouchard-Côté and Dr. Trevor Campbell. My research interests include scalable Bayesian inference and machine learning.

I am also a core contributor and founding member of the Pigeons software project. If you have a difficult sampling or integration problem, leave me a message and/or check out our software!

I was previously a co-chair and founding member of the Student Committee of the Western North American Region of the International Biometric Society. I previously held an Alexander Graham Bell Canada Graduate Scholarship (Master’s level) of the Natural Sciences and Engineering Research Council of Canada (NSERC) and was a recipient of the Governor General’s Silver Medal.