P Clark is a Senior Data Scientist with nine years of experience applying advanced machine learning and AI to real-world problems across defense, space, and cybersecurity domains. He has a strong research background—publishing work and developing models in reinforcement learning, geospatial forecasting, streaming anomaly detection, and SAR object detection—and currently drives ATR algorithm development using novel neural architectures. His career spans technical roles at Lockheed Martin, Booz Allen, and CrowdStrike, where he moved research prototypes into production-grade systems. A Computer Science graduate from American University with a mathematics minor, he combines academic rigor with hands-on engineering and an aptitude for turning complex sensor data into actionable insights. Notably, he blends space-focused modeling experience with practical anomaly detection at scale, a less common pairing that informs his cross-domain solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Major: Computer Science Minor: Mathematics, Bachelor of Science (B.S.) Major: Computer Science Minor: Mathematics at American University
Associate of Science (A.S.) Computer Science Transfer, Associate of Science (A.S.) Computer Science Transfer at Massasoit Community College
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