Harry is a Data Scientist at Adaptis. His work focuses on developing and testing machine learning and AI solutions, alongside the creation of pipelines to automate building energy modeling and decarbonization assessments. He is also a postdoctoral fellow at the University of Waterloo, connecting academic research with engineering practice. With a background in Mechanical engineering, Harry holds a MASc and a PhD in Building engineering, specializing in data-driven model-based optimal HVAC control. His expertise encompasses data processing and analysis, machine learning, building simulation, and system identification. Passionate about renewable energy, net-zero energy and carbon buildings, and smart technologies, Harry is committed to innovation and sustainability in cleantech.