Summary
Stephen Makonin is a senior researcher and interdisciplinary AI leader with 14 years of experience bridging academia and industry to deliver data-driven solutions in energy, healthcare, and sustainability. As Principal Investigator of the Computational Sustainability Lab and a Founding Editor-in-Chief for IEEE Data Descriptions, he has secured over $2M in research funding, published 60+ peer-reviewed papers (3,100+ citations, h-index 25), and shaped global best practices in data governance. He combines hands-on expertise in NILM, brain-signal modelling, and large-scale AI systems with practical software engineering roots dating back to full-stack and embedded systems work in industry. Known for translating stakeholder needs into funded research and products, he has led teams, mentored students, and run high-impact workshops on socially responsible AI. Based in Vancouver, he investigates the social and carbon footprints of digital systems—an unusual blend of signal processing rigor and policy-aware sustainability research.
14 years of coding experience
19 years of employment as a software developer
British Columbia Institute of Technology (BCIT)
Certificate, Electronics Technician, Certificate, Electronics Technician at George Brown Polytechnic Continuing Education
Diploma, Computer Technology, Diploma, Computer Technology at Selkirk College
Doctor of Philosophy (PhD), Computing Science, Doctor of Philosophy (PhD), Computing Science at Simon Fraser University