Post-doctoral Fellow (AI Buildings) at Racing to Zero
Grand-Bourg, Guadeloupe, France
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Summary
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Senior
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Top School
Donna Vakalis is a postdoctoral researcher and practitioner bridging machine learning and low-carbon building systems, currently co-supervised by Yoshua Bengio and David Rolnick at Mila. With nine years of experience spanning academia, consulting, and industry, she develops world models for planning and control that make building operation and design more energy- and carbon-efficient. Her work has translated into practical tools for carbon accounting, sustainability strategy, and event-level impact estimation through a startup and leadership roles with Racing to Zero. Trained as a PhD civil engineer with a background in architecture and machine learning, she combines quantitative modeling, sensor deployments, and interdisciplinary design expertise to deliver actionable insights. Fluent in English and French and based in Guadeloupe, she routinely communicates technical findings to diverse stakeholders from policymakers to students. An uncommon strength is her ability to move from high-level life-cycle assessments down to hands-on drawing coordination and sensor fieldwork, enabling end-to-end climate solutions for the built environment.
9 years of coding experience
7 years of employment as a software developer
Junior Fellow, Resident, Junior Fellow, Resident at Massey College
B. ArtsSc., Arts & Science. Math/Multimedia, B. ArtsSc., Arts & Science. Math/Multimedia at McMaster University
Oxford Machine Learning Summer School, Oxford Machine Learning Summer School at University of Oxford
Semester Exchange, Astronomy, Math, Eastern Studies, Semester Exchange, Astronomy, Math, Eastern Studies at University of Newcastle
Doctor of Philosophy (PhD), Civil Engineering, Doctor of Philosophy (PhD), Civil Engineering at University of Toronto
Contributions:2 PRs, 12 pushes, 2 branches in 2 years 3 months
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