Our work is organized around long-horizon research programs supported by shared capabilities in modeling, prototype engineering, instrumentation, and experimental validation.

Artificial intelligence

We study machine-learning systems that must make useful decisions with incomplete data, limited compute, and delayed human oversight. Current efforts include uncertainty-aware planning, multimodal perception, autonomous fault response, and methods for evaluating model behavior outside its training distribution.

Space technologies

We develop software and hardware concepts for small spacecraft and distributed missions. Areas of investigation include onboard autonomy, resilient guidance and navigation, resource-aware mission planning, sensor fusion, and compact avionics architectures designed for testability.

Experimental propulsion

Our propulsion research concentrates on low-thrust electric and pulsed plasma concepts for small spacecraft. The work is presently laboratory-based, with emphasis on repeatable diagnostics, power-processing behavior, thermal limits, and the relationship between component erosion and operating life.

Research engineering

Supporting capabilities include physics-based simulation, embedded systems, rapid test-article fabrication, control software, data acquisition, and experimental design. These capabilities allow computational and physical research to develop against a common set of measurements.

We undertake a limited number of external programs where the technical question aligns with our research direction and the collaboration can produce publishable or independently verifiable evidence.