- Technical co-lead of Space-Based Services and Sensing team responsible for performing modeling and simulation of future commercial and government-owned small satellite systems for the several government agencies. This entailed managing the research team's time and workload through communications and scoping with project leads and sponsors.- Co-lead of the Cross-Cutting Urgent Innovation Cell's burgeoning Diversity and Inclusion (D+I) team. Was responsible for developing the team's strategic plan for improving D+I, developing a pilot curriculum for our 75 person team, and helping assess and modify hiring practices to reduce bias.- Provided both mentorship and technical apprenticeship to several staff and interns.- Frequently presented technical work to a variety of audiences, ensuring research was framed in an accessible and compelling manner for the given audience.- As an individual contributor, developed a code-base for satellite communication constellation modeling from scratch in Python.

- Technical lead of the software engineering team responsible for reporting key metrics on simulated network functionality and profitability to the VP of Satellites.- Conducted systems analyses to help team make data driven decisions during system-wide redesign. Big wins included design of constellation launch plans, inclusion of a stabilizing spring in the solar panel structure, and improved user terminal design to improve service. - Coded models to simulate thousands of satellites during flight and operations.- Developed and tested optimized network control and scheduling algorithms for Starlink satellite constellation.

- Developed and coded rigorous MATLAB physics-based or intel-based models to simulate space-related systems including optics, radars, missiles, satellites, and networks of systems.- Analyzed capabilities and limitations of U.S. and foreign systems in order to identify and evaluate threats to U.S. use of space and to motivate technology acquisitions.- Prepared and presented technical findings using PowerPoint, building strong stories that were accessible to technical and nontechnical audiences, including military, Intel community, and Congress.- Operated ground-based electro-optical systems, acquiring data for model validation and development of automated algorithms for novel image processing - Research areas included: electro-optical image modeling and simulation, lucky imaging and super resolution image processing, atmospheric characterization and modeling, Lidar implementation and testing, and data processing for a variety of purposes including traumatic brain injury research, space mission assurance, space survivability, software validation, and data mining.