Program Evaluation in healthcare, supportive housing, and government-based social services; Design of performance metrics for quality assessment and clinical outcomes; Development of Quality Assurance Programs; Leadership for moving organizations toward decision making that is data informed; Management of Analytic and Performance Improvement Teams in Healthcare; Implementing Systems and Change Leadership to sustain Compliance with Regulatory Bodies; Advocacy for the Creation and Use of Integrated data that brings information together to drive development of best practices for specialized populations and cohorts of healthcare and social service users
In doing Cognitive Engineering, I apply Cognitive Psychology to the evaluation and design of computing and technology support tools for knowledge workers. This has involved working with experts as diverse as digital artists, mathematicians, police force emergency first responders, and forensic document examiners. I also am engaged in international collaborations that work on simulation tools to teach project management skills (Avriham Shtub, The Technion, Israel) and on practice based research with creativity support tools (Ernest Edmonds and Linda Candy, The University of Technology, Sydney, Australia).
The main focus of my research is the neural basis of creativity, insight, and problem solving. I specialize in high-density electroencephalogram (EEG) recording of brain activity and, through collaborations, also use transcranial direct current stimulation (tDCS) and functional magnetic resonance imaging (fMRI). Other research interests include cognitive enhancement and neuromarketing.
My lab conducts research on the prevention and treatment of eating disorders and obesity. I am also interested in biobehavioral factors that predispose some individuals to develop these conditions. I have conducted fMRI and EEG studies to better understand brain processes (e.g., reward, inhibition, impulsivity) that are influential in the development and treatment of obesity and eating disorders.
I am interested in the use of innovative technologies for meeting the clinical needs of individual with neurological compromise. Much of our work is focused on using virtual reality simulation, neuropsychological measures and portable imaging systems (i.e., fNIRS). I work with cognitively impaired populations—traumatic brain injury, multiple sclerosis, stroke, dementia—in order to understand the effects of neurological involvement on functions, such as driving, returning to work and everyday activities of living. Our work intersects psychology, biomedical engineering, transportation, and rehabilitation medicine.
Adult Psychopathology; Evidence-Based Practice; Competency-Based Training; Competency-Based Clinical Supervision
My research uses experimental and computational modeling approaches to understand how humans learn, act, and make decisions in a world filled with uncertainty. In reaching for an object, the brain must compensate for time-delayed and uncertain sensory signals, and use this information to control a noisy and error-prone motor system. When we briefly look at a photograph, only a limited amount of information can be stored in working memory; as a result, the brain must be selective in what information is stored, and how it is encoded. These examples illustrate that both motor control and visual memory are low-level forms of decision-making under uncertainty. I am interested in studying how these low-level sensorimotor decisions are carried out, and how they relate to higher-level cognitive decisions under uncertainty. I am also interested in understanding how training, aging, and cognitive impairments influence our ability to adapt to the demands of a constantly-changing and uncertain world.