Professor of Psychology with research interests in longitudinal methods for the study of change and dynamics, and the development and application of machine learning techniques in the behavioral sciences.
Dr. Daniel Frank is an Associate Teaching Professor who mentors robotics teams and promotes engineering education by integrating assistive technology and alternative reality games into curriculum to inspire future engineers.