Michael Blonsky is a Senior Control and Optimization Engineer with 11 years of experience advancing forecasting, dispatch, and control for virtual power plants composed of smart thermostats, EVs, and batteries. Based in Denver, he blends research rigor from a PhD program with hands-on software and modeling work, having led demand flexibility studies at NREL that quantified impacts on markets, emissions, comfort, and resilience. At EnergyHub he focuses on making VPPs more accurate, reliable, and flexible to deliver a broader set of grid services, and he has contributed open-source tools for DER modeling and control. His background spans Python-based simulation frameworks, co-simulation of buildings and grids, and practical deployment considerations for aggregation at scale. Not obvious from the title: he started in materials and sensor testing and has a track record of building analytical tooling and algorithms that bridge lab, research, and production environments.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Colorado School of Mines
Bachelor of Science (B.S.), Materials Science and Engineering, Bachelor of Science (B.S.), Materials Science and Engineering at Cornell University
Contributions:1 release, 3 PRs, 8 pushes in 2 years 2 months
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