I am a neuroscientist, data scientist, and engineer studying the computations in the brain that allow humans and animals to perceive the world and make decisions. Currently I am a postdoctoral researcher in the laboratory of Dr Randy Bruno at Columbia University in New York. I did my PhD work (in Neuroscience, with an emphasis in Computation Science and Engineering) with Dr Michael DeWeese at the University of California - Berkeley. Before that I received my Bachelor's in Electrical Engineering from McGill University in Montreal.
My primary interest is in neural computation -- how do networks of brain cells work together to process information from the outside world and form a decision about what to do next? Compared with computers, the brains of humans and animals perform remarkably complex computations, quickly and using very little power. One of my long-term goals is to understand the fundamental principles of computation have evolved in the brain and to apply them to artificial computers. For more information on my past and present research, see my CV.
In modern neuroscience, observing brain and behavior requires the development of flexible and powerful software for the acquisition and analysis of very large datasets. See my ongoing projects for more information on the solutions I am developing, often in collaboration with other scientists, to address these challenges.