I am Co-Founder and Chief Science Officer at SwiftSCIENCE, a startup that develops innovative animal monitoring solutions for biomedical research using AI. We develop and optimize end-to-end high-throughput scalable deep learning workflows consisting of image-based object detection, data reduction of various kinds, video classification, and more traditional computer vision. Our system can scale to thousands of cameras using edge computing, federated learning, optimized cloud processing, and "no-code" platform customization. I am also a tenured Associate Professor of Electrical Engineering at West Virginia University where I teach and conduct research on theoretical and applied aspects of signal processing. I received the CAREER Award from the National Science Foundation while publishing extensively in high-quality journals and receiving research funding from the Dept. of Energy, the Dept. of Defense, the Army Research Lab, the National Institutes of Health, the NSF, and others. I am passionate about creating and sharing knowledge that can improve the human condition. While at WVU and SwiftSCIENCE I have had the opportunity to lead teams of various sizes and types, including teams of students, teams of peers, and mixed teams of software developers, sales and marketing personnel, and engineers. At SwiftSCIENCE I am responsible for leading the technical vision and strategy, overseeing the product development and testing, and securing funding and partnerships. Over the years I have developed an extensive skillset in leadership and engineering design and analysis and I have used these skills to solve problems in academia and in industry. I look forward to continuing to lead diverse teams to solve our most challenging problems.