David Blum is a computational research scientist and engineer with nine years of experience developing modeling and optimization tools for commercial building HVAC systems and intelligent building operations. Based at Berkeley Lab after completing a PhD at MIT, he specializes in model predictive control, demand response, and leveraging building dynamics to enable intelligent load management and ancillary services. His work bridges academic rigor and practical deployment, from Modelica-based VAV system studies to computational toolchains that support next-generation designers and operators. He also teaches and presents widely on sustainable architecture and HVAC control, and uniquely blends architectural engineering roots with advanced controls research to quantify opportunity costs and market-facing value of building systems.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Building Technology, Doctor of Philosophy (Ph.D.), Building Technology at Massachusetts Institute of Technology
Bachelor of Architectural Engineering (B.A.E.), Architectural Engineering, Bachelor of Architectural Engineering (B.A.E.), Architectural Engineering at Penn State University
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David Blum - Computational Research Scientist Engineer