Giulia Zarpellon
Giulia worked with DSE as a Data Scientist passionate about interrogating data in search of both meaningful questions and actionable answers. The topics of sustainability and environmental problem‐solving have always challenged and motivated her at a personal level: she brings to DSE her interdisciplinary experience in data science, optimization and machine learning, and a continuous desire to pair her scientific background with making a positive impact.
Giulia most recently served UN Global Pulse as a Data Science Research Fellow, after working as an AI Scientist at the Vector Institute. Before that, she completed a Ph.D. in Applied Mathematics at Polytechnique Montréal as part of the Canada Excellence Research Chair in Data Science for real-time Decision-Making.