Juliette Ugirumurera is a computational scientist with nine years of experience applying high-performance and parallel computing to large-scale transportation simulation and optimization at National Renewable Energy Laboratory. Her work bridges algorithm design, distributed systems, and optimization—translating MPI-enabled research from Lawrence Berkeley Lab and PhD work on microgrid scheduling into scalable code that runs on supercomputers. Proficient in Python, Java, and C++, she focuses on reducing compute time to enable deeper traffic engineering and complex-systems analyses. Based in Denver, she combines academic rigor with practical impact, having also co-founded a nonprofit that drilled community water wells in Rwanda—an indicator of her problem-solving drive beyond academia.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The University of Texas at Dallas
Bachelor of Science (B.S.), Computer Engineering, Bachelor of Science (B.S.), Computer Engineering at Oklahoma Christian University
Distributed simulation of traffic networks with OTM.
Contributions:5 commits, 2 PRs, 4 pushes in 7 months
trafficotmsimulationdistributed
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