Bio
I'm an Applied Machine Learning Engineer on the Financial Services team at Shopify where I leverage predictive modeling, quantitative analysis, and systems engineering to power several billion-dollar products for our millions of merchants. In the past, I was one of 15 students part of Shopify's Dev Degree program (http://devdegree.ca/), where I graduated from Carleton University's B.C.S Honours Program in two years as one of the top 30 students in the fall class of 2021.
Previously, I've worked as as a machine learning researcher with the Northern Tornadoes Project, CTO for 5-ing COVID-19, undergraduate teaching assistant, and consultant for several startups. In my spare time, I sing, songwrite, run, and code.
Publications and Awards
Using Deep Neural Networks to Automate Tree-fall Pattern Detection PDF
William Wang, Gregory Kopp, David Sills, Daniel Three, Mark Daley, Emilio Hong
Canadian Meteorological and Oceanographic Society 2020
The Northern Tornadoes Project: Uncovering Canada’s True Tornado Climatology PDF
David M. L. Sills, Gregory A. Kopp, Lesley Elliott, Aaron L. Jaffe, Liz Sutherland, Connell S. Miller, Joanne M. Kunkel, Emilio Hong, Sarah A. Stevenson, and William Wang
American Meteorological Society
Talks
Hack Western 8 Panel (January 2022): Zero to Hero: The makings of a Data Scientist
In Query podcast Episode 8 (December 2020): Shopify Dev Degree @ Carleton University
Dev Degree (December 2020): A Day in the Life of a Dev Degree Student
Project Tech Conferences Workshop (March 2020): Your Data, Big Data
Acknowledgement
This website uses the website design and template by Martin Saveski