In my research I study human perception along side artificial perception in order to better evaluate,
understand, and explain artifical perception. I am particularly interested in using psychophysics,
a method developed out of psychology and neuroscience, to measure how we as humans make perceptual
decisions which often unexpressible to the observer. The psychophysical measurements taken from
sub-conscious processes can then be used to inform and improve artifical perception, pushing artifical
perception behaviorial patterns towards those of their human counterpart. Because of the abundance of
available data, I have primarily focused on object recognition and facial recognition, but I have a strong
interest in branching out into other domains such as robotics, agriculture, and microneurography.