I am an engineer, researcher, and problem solver. Currently a Ph.D. candidate at the University of Florida, I have spent my career navigating the public, private, and government sectors with a single goal: to build technology that makes a difference.
My research dives deep into the intersection of signal processing and machine learning within the realm of wireless communications. Specifically, I focus on developing advanced estimation algorithms for timing and localization. However, my approaches aren't limited to theory. I specialize in the optimization and acceleration of these models to ensure they are fast, robust, and scalable. Whether I am utilizing C++, Python, or CUDA, my goal is to turn raw data into a "live view" of the world—empowering teams to make decisions based on real-time intelligence.
I am perhaps proudest of my ability to handle data at scale with the utmost integrity, a skill put to the test when my team won DARPA's Spectrum Challenge, handling over 160 terabytes of RF, network, and competition data.
I created this site as a portfolio to share my work in high-performance computing and to connect with others who are passionate about using technical innovation for meaningful impact.
All the best,
David J. Greene