John Tribble
Computer Vision CoE Lead
John Tribble is a Principal Data Scientist and our Computer Vision Center of Excellence (CoE) lead. With 18+ years of experience in analytical roles in both government and commercial spaces, John has a strong foundation in geographic information systems (GIS) and a deep passion for applying machine learning to real-world problems. With a master’s in GIS and experience spanning full-scale analytics, AI/ML, and project planning and leadership, John specializes in integrating visual, spatial, temporal, and semantic data to uncover insights that drive decision making.
More recently, John has focused on advancing computer vision, knowledge graph technologies, and industrial internet of things (IIoT) analytics — especially in domains where there is limited and emerging interest.
As the lead for the Computer Vision CoE, John facilitates the proliferation of computer vision technology and methods across the company and beyond. Through the CoE, John has created community resources for collaborating and sharing computer vision innovation and research.
John received the ILW Innovation Award in 2022 for his novel deep learning work on a real-time object tracking model for an Army Small Business Innovation Research (SBIR) project. John was also awarded the ILW Most Valuable Consultant Award in 2021 and the ILW Brightest Light Award in 2024. John is a natural problem solver, offering insightful guidance, creative solutions, and fresh ideas that drive progress and excels at bringing people together, fostering collaboration, and spearheading initiatives that lead to improved outcomes.
Outside of work, John is a lifelong baseball enthusiast and Chicago Cubs fan, often found diving deep into baseball metrics or collecting past and present autographs of Chicago athletes. John brings the same strategic mindset and attention to detail from his professional life to working with his sons on baseball mechanics. John is also a drummer and a craft beer enthusiast.