Affective Computing

Automatic detection of psychological disorders has gained significant attention in recent years due to the rise in prevalence. However, …

Behavioral Signal Processing methods provide the basis for modeling human behavior with high resolution. Computational methods developed for Behavioral Signal Processing applications can provide deeper understanding of behavioral phenomena, especially useful for neuropsychiatry. I am developing methods to support dynamic analysis of clinical interviews, online data collection, and neuropsychiatric batteries. These methods are enabling understanding of mechanisms which underlie several disorders including dementia, schizophrenia, trauma, and depression. My work features analysis on the Framingham Heart Study Cognitive Aging Cohort, DCAPS Distress Corpus, and Mental Health America.

Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the client’s own intrinsic reasons for …

Depression affects hundreds of millions of individuals world wide. With the prevalence of depression increasing, economic costs of the …