Mike addresses the influences of managerial and stakeholder cognition on corporate social performance, reputation, and financial performance. 

Patrick works at the intersection of machine learning and human learning, using probabilistic models and tools from pure mathematics.

Lauren is a specialist in interdisciplinary approaches to literature and culture, especially the long nineteenth century. As chair of the MLA's History and Literature forum she has organized a panel devoted to "Literatures of Artificial Intelligence". Her current research describes the advent of data-driven machine learning in the invention of Sherlock Holmes.

Dr. Persaud investigates the underlying processes that govern how we encode, store, and retrieve information from memory and how these processes change/differ as a function of development, culture, and expertise.

Behavior neuroscience and genetics: with a focus on the 'nature-nurture' theme of genetics and cognitive behavior. Research areas include the genetics of compulsive behaviors (such as alcoholism and drug addiction) and neuro-sensory disorders (such as diabetic neuropathy and neuropathic pain). Techniques utilized include molecular genetics, animal behavior models, and machine learning algorithms with statistics/bioinformatics models for neuro-behavior pattern analysis.