David Blum is a Computational Research Scientist/Engineer in the Building and Industrial Energy Systems Division. His research focuses on the development and implementation of next-generation computational tools and workflows for buildings operating in isolation or within broader energy networks. His primary interests are in advanced control strategies that reduce energy use and cost, facilitate flexible load management, improve resilience, and enable operation of emerging and complex HVAC and energy systems.  David focuses particularly on the use of physical and data-driven models for the development, testing, evaluation, verification, and implementation of advanced control strategies.

David received his B.A.E. degree from the Department of Architectural Engineering at The Pennsylvania State University in 2011 and his M.S. and Ph.D. degrees in Building Technology from the Massachusetts Institute of Technology in 2013 and 2016 respectively. At MIT, his research focused on improving the use of commercial building HVAC systems to provide ancillary services to electric grids through dynamic modeling and MPC. He is a member of the American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE), the Institute for Electrical and Electronics Engineers (IEEE), and the International Building Performance Simulation Association (IBPSA).