Summary
Brendan Hogan is a Lead Modeling & Simulation Engineer with over a decade of hands-on experience applying discrete event simulation, data analysis, and statistical graphics to complex transportation systems. Based in Burlington, VT, he has led Traffic Flow Management studies at MITRE/CAASD, built forecasting algorithms, and worked directly with a 1TB data warehouse using SQL and PL/SQL to prepare and analyze large-scale airspace simulations. He pairs algorithmic rigor with practical tooling—developing GUIs for model calibration, rapid QA analyses for the ATCSCC, and human-in-the-loop experiments for controller decision support. Trained in computational operations research (MS) and grounded in mathematics and physics, he blends academic depth with a history of teaching and mentoring across higher-education programs. Notably, his work translates prototype performance metrics into actionable evidence presented to FAA sponsors, showing an ability to bridge research, operations, and policy.
9 years of coding experience
MS, Computer Science, Computational Operations Research, MS, Computer Science, Computational Operations Research at The College of William and Mary
BS, Mathematics and Physics, BS, Mathematics and Physics at St. Lawrence University