Computer vision, machine learning, and deep learning research scientist. PhD in computer science, in the area of computer/biological vision and machine learning. Strong background in computational neuroscience, cognitive science, and statistical modeling analysis. Experiences include deep learning optimization methods, object localization, statistical clustering and classification methods, neuro-inspired deep learning models, parametric models, neuroimage tumor detection, image and video segmentation, object and action recognition, autoencoders for feature selection, computational modeling of neuronal receptive fields, and proto-object based visual clutter analysis.