Libby Zhang

Libby is developing statistical frameworks for modelling animal behavior. Experimental neuroscience relies heavily on observed animal behavior -- individual and repeated patterns of actions in response to internal and external stimuli -- to study neural dynamics. These investigations, however, are limited by insufficient objective and analytical descriptions of physical behavior. Libby's work on more efficient estimations methods for joint detection and tracking aims to directly contribute to the systematic investigation of behavioral action patterns and their neural correlates. Libby is a Ph.D student in the department of Electrical Engineering and is advised by Professor Scott Linderman.