Byron Tasseff is an Optimization Engineer with a decade of experience translating complex physical and market systems into reliable mathematical models, algorithms, and production software. He currently advises enterprise and academic teams on modeling, numerical reliability, and solver performance at Gurobi, having previously led battery-storage optimization and market-simulation efforts across ERCOT, CAISO, AEMO, and Great Britain. His background spans high-performance scientific software, open-source Julia/JuMP packages for multi-infrastructure networks, and low-level GPU-accelerated simulation—skills he uses to bridge solver theory and practical deployment. Known for improving solver robustness through scaling, formulation, and parameter strategies, he also refactored critical simulation workloads to achieve orders-of-magnitude speedups. He holds a PhD in Industrial & Operations Engineering from the University of Michigan and combines domain depth in energy and infrastructure with hands-on tooling across Gurobi, CPLEX, Ipopt, Python, C++, and cloud platforms.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at University of Northern Iowa
Doctor of Philosophy - PhD Industrial and Operations Engineering, Doctor of Philosophy - PhD Industrial and Operations Engineering at University of Michigan
High School Diploma, High School Diploma at Dike-New Hartford High School
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