Phillip A. Jang is an Applied Scientist II in Supply Chain Optimization Technologies (SCOT) at Amazon, focusing on top-line forecasting. Jang's previous experience includes roles as a Senior Quantitative Analyst at Manulife Financial and as an Actuarial Co-op at WorkSafeBC, where they developed analytical models and conducted complex data analyses. Jang earned a Bachelor of Science Honours in Statistics & Actuarial Science from Simon Fraser University, a Master of Science in Mathematical Finance from the University of Toronto, and a PhD in Applied Mathematics from Cornell University. Their research interests encompass stochastic processes and their applications in statistical modeling, particularly within mathematical finance and machine learning.
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