Experienced research scientist with a strong background in machine learning, deep learning, and computer vision. Currently leads a range of projects and research efforts from technical to management levels. Holds undergraduate and graduate degrees from Cornell University and The Johns Hopkins University. Research interests focus on the intersection of computer vision and machine learning with current projects spanning a range of topics including neuro-inspired computer vision, connectomics, medical image analysis, deep learning, and adversarial machine learning.