Juan Ospina is a Staff Power Systems Engineer with a Ph.D. in Electrical Engineering and nine years of hands-on experience bridging power systems research and applied engineering across national labs and industry. He specializes in modeling, optimization, and secure integration of renewable and distributed energy resources, combining expertise in real-time simulation, reinforcement learning, and cybersecurity for smart grids. Juan is polyglot in tools and languages—C/C++, Julia, Python, MATLAB—and routinely advances prototype-to-hardware workflows using HIL, Opal-RT, OpenDSS, and containerized ML stacks. His work has produced measurable gains (e.g., energy cost reductions and forecast improvements) and novel cyber-risk metrics that reveal optimal attack paths and system observability gaps. Based in Santa Fe, he favors pragmatic, tool-agnostic solutions and applies data-driven controls and RL to make power systems more resilient, efficient, and secure.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, 4.0, Doctor of Philosophy - PhD, Electrical Engineering, 4.0 at Florida State University
A Julia/JuMP Package for Unbalanced Power Network Optimization
Contributions:9 PRs, 125 pushes, 30 branches in 3 years 6 months
jumppower-networkoptimizationpowerjulia
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