• Added coordinated time or arrival capabilities to a Simulink model of a munition and its guidance software by implementing an algorithm developed with machine learning by the AI team which provided guidance commands• Investigated guidance law from a journal article by testing in a 3 DOF environment before implementation in a 6 DOF Simulink model and analyzing performance.• Completed incremental tests to resolve errors, and validated Simulink model modification by comparing simulation results to flight test telemetry data

• Predicted broadband noise from a rotor blade on a personal air vehicle by combining multiple models in Python• Investigated acoustic model sensitivity to boundary layer modeling coefficients and optimized coefficients in MATLAB, improving the broadband acoustic predictions by 90% when applied to the experimental results used for the optimization• Improved a model for tonal acoustics produced by a rotorcraft to match experimental results within 3 dB and determined predictions for hover and forward flight• Wrote the abstract and contributed to slides presented at the Florida Fluids Symposium in May 2022• Presented biweekly updates to corporate research sponsors at Archer Aviation

• Graded homework and exams for a mixed graduate and undergraduate compressible flow course

• Mentored multiple new teaching assistants on how to provide machine shop safety training, machine operation, conduct maintenance, and how to grade design reports• Led five teams of four students through the engineering design process, traditional manufacturing, and design for manufacturing principles• Critiqued and graded student design reports including hand drawings, decision matrices, and CAD drawings