Leading innovation in Space Domain Awareness, Cyber-Physical Security, and Machine Learning applications for national security. Principal Investigator or Lead for $2.5M+ in federal research funding, coordinating 25+ companies in critical U.S. space defense programs.
Principal R&D Engineer and technology leader with extraordinary expertise in space domain awareness, cyber-physical systems security, and machine learning applications for national security. Recognized leader coordinating multi-company initiatives for the U.S. Space Force and serving as Principal Investigator on critical defense research programs.
Hostility Monitoring Subsystem Lead - U.S. Space Force SDA TAP Lab, coordinating 25+ companies in developing critical space defense capabilities. Selected to brief technologies directly to 3 and 4 star generals and Congressional committee members.
Principal Investigator - Developed reusable cyber-physical fault detection tools for satellites and UAVs achieving 90% anomaly detection with <1% false positives.
Subsystem Lead - Led Hostility Monitoring subsystem for Welder's Arc battle management system, coordinating 25+ companies.
Lead Engineer - Implemented cyber-physical intrusion detection system for military ground vehicles achieving 99.9% detection accuracy.
Lead Engineer - Machine learning system for predicting pilot training attrition, potentially saving $20M annually.
Key Contributor - Developed radiation localization algorithms achieving 100x computational efficiency improvement.
Inventor - Developed a novel vertical axis turbine with 30% higher efficiency than conventional designs.
Metascience in Aerospace, Volume 1, Pages 246-267
Developed advanced machine learning surrogates for electric vertical takeoff and landing vehicle performance optimization, enabling rapid design space exploration for next-generation aviation systems.
arXiv preprint arXiv:2309.03113
Data-centric machine learning approach to detect PCB manufacturing defects across 15,000 PCBsimprove automated quality control in electronics manufacturing.
Aerospace, Volume 10, Issue 4, Article 379
Collaborative research with U.S. Navy personnel developing machine learning algorithms to predict pilot training outcomes, with potential to save $20M annually through optimized training assignments.
37th Annual Small Satellite Conference
Presented NASA-funded framework achieving >95% anomaly detection in satellite systems with reusable, rapidly deployable architecture reducing small satellite development costs.
Aerospace, Volume 9, Issue 8, Article 452
Comprehensive experimental analysis of coaxial rotor configurations for electric aviation, providing critical design insights for emerging urban air mobility systems.
Energies, Volume 11, Issue 12, Article 3328
Mathematical model and experimental validation of patented cyclic pitch turbine demonstrating superior performance to conventional Savonius designs.
US Patent Application 20160377055 A1
Patent: Dual cam mechanism that pitches the blades of a vertical axis turbine to efficiently harness energy from tides, rivers, ocean currents and wind, achieving 30% higher efficiency than conventional designs.
US Patent Application 18/460,926 A1
Patent:Detecting anomalies in aerial vehicle components using unsupervised machine learning and graph techniques
Publication Summary: 14 total publications • 47 citations • H-index: 4
Published in top-ranked journals including Aerospace (#9 globally) and Energies (#9 in sustainable energy)
$750,000 Award • 2022-2024
Selected as PI for highly competitive NASA SBIR Phase II program with <10% acceptance rate, developing satellite health monitoring technology.
~$500,000 in contracts • 2024-2025
Selected to lead Hostility Monitoring subsystem for critical space defense program, coordinating 25+ companies in battle management system development.
$2.5M+ total funding acquired
Principal Investigator and Lead Engineer on projects for NASA, Space Force, Army, Navy, and Department of Energy.
$15,000 Award • 2017
National competition for renewable energy technology business pitch, recognizing innovation in clean energy microgrid technology.
$3,000 Award • 2015
Recognized for outstanding research on cyclic pitch turbine technology at international AJK-ASME Conference in Seoul, South Korea.
2013-2018
Competitive assistanceship and grants for doctoral studies and research in Mechanical and Aerospace Engineering.
Colorado Springs, Colorado, United States
Last Role as Principal R&D Engineer at GTC Analytics
Hostility Monitoring Subsystem Lead - U.S. Space Force SDA TAP Lab
Available for collaboration on advanced technology R&D projects and national security applications.