I work at the intersection of machine learning, signal processing, and remote sensing — building AI systems that extract meaningful information from complex sensor data. My current focus is applying cutting-edge ML and AI to long-term weather prediction, modeling climate risk across agriculture and finance. I also study mammalian intelligence to inform novel AI methodologies.
With over 20 years of professional experience spanning software engineering, systems engineering, and principal investigator roles, I bridge deep theoretical foundations with practical, deployable solutions. I completed my Ph.D. at Penn State while working full time, which shaped my ability to rapidly translate theoretical breakthroughs into real-world impact.
I have led programs for DARPA, ONR, and NavSEA, and provided significant technical execution on programs for DTRA, AFRL, and several intelligence agencies.
Applying machine learning to extract actionable intelligence from sonar, radar, and other sensor modalities.
Integrating classical signal processing theory with modern deep learning for robust sensor data analysis.
Studying how biological intelligence emerges to inspire novel architectures and learning algorithms.
Detection, recognition, and understanding of objects and scenes in challenging imaging environments.