My research explores two key areas: applying cutting-edge machine learning and AI to solve remote sensing challenges, and investigating the formation of intelligence in mammals to inspire new AI methods. I aim to leverage these biological insights to both understand and improve current deep learning paradigms. My diverse background spans machine learning theory, physics, signal processing, and computer vision, all fueled by high-performance computing.

What truly sets my journey apart is my concurrent pursuit of a PhD at Penn State alongside a full-time career. This unique experience, coupled with over 20 years of professional experience across software engineering, systems engineering, and principal investigator roles, has cultivated a unique ability to rapidly translate theoretical breakthroughs into practically viable solutions, providing a strategic perspective crucial for identifying high-impact R&D investments.

This extensive and integrated background equips me not only to conduct rigorous research but also to assess the broader research landscape. I am adept at identifying emerging trends and evaluating the potential of new technologies, enabling me to guide strategic decisions regarding research direction and investment. My goal is to bridge the gap between groundbreaking theoretical work and its real-world application, ensuring that research investments yield significant and tangible results.