Nidia Bucarelli was born and raised in the Dominican Republic. She earned her Ph.D. from the University of Illinois at Urbana Champaign, where her research focused on developing vision-based models to predict occupant thermal comfort from RGB images, as well as reinforcement learning models for adaptive energy consumption forecasting using multimodal sensor data. Prior to joining Harvard, Nidia worked in the financial sector with a focus on generative AI. She developed models for text classification, summarization, compliance auditing, and quality assessment of procedural documentation – all aimed at automating workflows and improving resource efficiency. Her research interests include machine learning, artificial intelligence, and multimodal generative AI.
