Kevin Trinh is a Lead Energy Scientist with a decade of cross-disciplinary experience at the intersection of energy management, data science, and human-centered design. He progressed from HCI and usability research into data-driven roles at ecobee, where he spent nearly a decade translating user insights and telemetry into actionable energy-saving products before moving to Resideo. Trinh blends systems design engineering training with graduate-level human factors and building science expertise to tackle complex building energy problems using analytics and behavioral understanding. He is skilled at turning rich sensor data into product features that nudge user behavior and optimize energy use, a perspective rooted in his long HCI research background. Based in Old Toronto, he brings both research rigor and product delivery chops to energy systems and smart-home domains. Colleagues would note his uncommon combination of hands-on data science, domain-specific energy training, and deep user empathy.
10 years of coding experience
9 years of employment as a software developer
MASc Industrial Engineering - Human Factors, MASc Industrial Engineering - Human Factors at University of Toronto
Toronto Metropolitan University
BASc Systems Design Engineering, BASc Systems Design Engineering at University of Waterloo
Platform for running control loop co-simulations and generation of building simulation models using EnergyPlus.
Contributions:16 reviews, 12 commits, 3 PRs in 11 months
simulation-modelssimulationssimulationloopdrift
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