Worked in the Operations Research & Systems Analysis Department on the validation and verification of low-fidelity discrete-event simulations. Developed software in C++ and Python for logging and analyzing kinematics, radiated noise, and other acoustic data.

Tutoring undergraduate students in introductory mathematics including linear algebra, differential equations, calculus, and discrete mathematics.

Leading bi-weekly discussion sections and assisting undergraduate students studying introductory physics, specifically mechanics and electricity and magnetism, with homework, test preparation, and class logistics.

Developed software in MATLAB to translate large simulation data sets into a format readable by SIMDIS to display simulation, test and operational data. Collaborated with researchers studying information geometry, focusing on solving optimal control problems on statistical manifolds, specifically univariate and multivariate normal distributions, using a linear predictor-corrector model.