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Dr. Tasian and his research team use an epidemiologic framework, including randomized trials and multi-institutional observational studies, to examine the etiology of kidney stone disease and the comparative effectiveness of surgical interventions. He also employs machine learning of complex data to improve diagnosis, risk stratification, and prediction of treatment response for children and adults with benign urologic disease.
Dr. Timko is a psychologist and researcher focused on understanding the development and maintenance of eating disorders in adolescents. Currently, her interest is in the neurobiology of anorexia, the role of neurocognition in eating disorder maintenance, sex differences in eating disorders, and the development of new treatments for youth with eating disorders.
Dr. Tremoulet's current research interests include designing intelligent information systems that use human data (e.g. medical images, vital signs, reaction times, verbal, numerical or abstract reasoning assessments, neurological measures, etc.) to support healthcare and/or to improve job performance by enabling more effective human-machine interaction.
Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.
Dr. Tunç is a computational scientist investigating the application of machine learning and statistical data analysis in various domains such as digital phenotyping, nature of psychopathology, and neuroimaging. He participates in studies using normative, developmental, and clinical samples to parse heterogeneity in psychiatric disorders by developing novel computational techniques.