AboutDirector of Computer Vision and Machine Learning at Abundant Robotics and Adjunt Faculty (formerly on Research Faculty) at Carnegie Mellon University, School of Computer Science. Computer vision and machine learning leader with a passion to design robust systems that solve real-world problems. Focused at all levels of implementation, from low-level engineering through to high-level technology conception and delivery. Deployed computer vision systems at scale for cutting edge agricultural robotics and autonomous aerial systems. Experienced in many technical areas including object-detection, scene segmentation, localization, tracking, mapping, machine-learning, phenomics/genetics prediction, deep convolutional neural nets. Currently leading the computer vision system development for an agricultural mobile manipulation robot. Responsible for the design from the ground up from the imaging sensors, image processing algorithms, 3D mapping, visual odometry to the machine learning frameworks. Deployed in commercial operation.