I work on flight hardware programs where requirements, test evidence, and risk reduction matter. At Lockheed Martin Space, I support deep-space propulsion systems through verification work, anomaly investigations, and data-driven performance assessments.
- Review thruster qualification and acceptance test data, then turn results into clear requirement closure and risk calls.
- Build and maintain MATLAB tools that standardize test data processing, keep runs traceable, and cut review turnaround time.
- Support propulsion component selection and verification for deep-space missions, working across test, systems, and design teams.
My graduate school focus is GN&C and autonomy. My coursework builds estimation and decision-making methods that stay reliable in uncertain conditions when sensors are noisy, detections are imperfect, and the environment is only partially observed.
