Summary
Dan Molzahn is an assistant professor at Georgia Tech and a researcher with deep expertise in electric power system optimization, combining academic rigor with applied work at Argonne National Laboratory and the University of Michigan. He holds a PhD in electrical engineering and complementary training in public affairs and energy policy, enabling him to bridge technical optimization (notably conic approaches to power flow) with market and regulatory analysis. His work focuses on improving reliability and economics of power systems through convex optimization and tool development, with a track record of translating research into practical models and software. With industry internships spanning automotive motor simulation to utility distribution modeling, he brings hands-on engineering experience to academic research. A subtle throughline of his career is the blend of mathematical depth and policy awareness, positioning him to impact both algorithmic methods and real-world electricity decision making.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at University of Wisconsin-Madison