Elence Xinzhu Chen, Core Researcher

Elence Xinzhu Chen is a doctoral candidate at the Harvard University Graduate School of Design (GSD), specializing in building technology, data science, and engineering. With the aim of creating sustainable buildings and cities, her primary research integrates building performance simulation and system control with machine learning algorithms. Elence’s research interests include model predictive control via data-driven approach, deep learning-based control optimization, machine learning, net-zero energy/carbon building design optimization, natural ventilation, co-simulation of building energy, control systems and indoor environment. She holds a Bachelor of Science in Project and Facilities Management from National University of Singapore, a Master in Design Studies with concentration in Energy and Environment from Harvard GSD. Her master’s thesis investigated the use of Phase Change Materials in heating buildings to reduce building energy consumption through a passive manner and was awarded the Daniel L. Schodek Award for Technology and Sustainability in 2020. Her papers have been published and presented in ASHRAE Winter Conference, Smart and Sustainable Cities and Buildings, and International Conference of the Architectural Science Association.