My background was originally in theoretical physics, where I studied string theory, a unifying model of gauge theories and gravity. Since 2010, I have been studying neuroscience and am interested in the role neuromodulators play in the flexible manner in which we and animals can switch between different learned behaviors. Although I am primarily an experimentalist now, I am interested in models of flexible learning and applications of machine learning to analyze neural activity and behavior.
Courses Taught
BIOG 4990: Independent Undergraduate Research in Biology
BIOG 2990: Introduction to Research Methods in Biology
BIONB 4380: Topics in Computational Methods for Neurobiology & Behavior
Cornell researchers built miniature VR headsets to immerse mice more deeply in virtual environments that can help reveal the neural activity that informs spatial navigation and memory function and generate new insights into disorders such as...