Harshit Gujral is a trained Data Scientist who is currently pursuing a Ph.D. in Computer Science at the University of Toronto. His research focuses on understanding and mitigating the unintended rebound effects of technology through a digital sufficiency lens, with applications in residential buildings, data centers, and machine learning infrastructure. As a doctoral fellow at the University’s Climate Positive Energy (CPE) and Data Science Institute (DSI), Gujral contributes to projects aimed at developing sustainable energy solutions and shaping data-driven environmental policy.