Computing Systems for Data-Driven Science
Foundations of Data Science
The approach behind my research is fundamentally grounded in Neural Engineering, utilizing large-scale computational modeling and advanced neuroimaging to infer circuitry and circuit properties of visual cortex. Neural engineering is an emerging interdisciplinary field of research that uses engineering techniques to investigate the function of and manipulate the behavior of the central or peripheral nervous system. My research has led to the development of several innovative systems under what can be termed applied neuroscience, e.g. brain computer interfaces for image search and computer-assisted detection systems for medical image analysis. My philosophy, “build it, measure it, test it, understand it”, is partly fostered by my six years of industrial R&D experience at the Sarnoff Research Center in Princeton, NJ.
I am the director of the Laboratory for Intelligent Imaging and Neural Computing (LIINC).
Phone: +1 212-854-5279
Fax: +1 212-854-8725
Neurocomputational modeling and neuroengineering, pattern recognition, adaptive processing for biomedical image and signal analysis.
Lab Web Site