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In This Section
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.
Bio
Dr. Tunç is a computational scientist in the Center for Autism Research (CAR) and a research assistant professor in the Department of Psychiatry at University of Pennsylvania. His primary area of research is the application of machine learning and statistical data analysis in various domains such as digital phenotyping, nature of psychopathology, and neuroimaging (brain connectivity).
Dr. Tunç's goal is to develop novel computational models to better understand human behavior, its abnormalities, and how those relate to general psychopathology. He is currently leading and participating in several research efforts in CAR, including identifying neurobiological substrates of ASD phenomenology, characterization of heterogeneity in ASD and its comorbid conditions, and empirical evaluation of "non-categorical" models of ASD.
Education and Training
BA, Istanbul Technical University (Industrial Engineering), 2003
MS, Istanbul Technical University (Computational Science and Engineering), 2006
PhD, Istanbul Technical University (Computational Science and Engineering), 2012
Titles and Academic Titles
Computational Scientist, Center for Autism Research
Research Assistant Professor of Computational Science and Engineering, Department of Psychiatry
Publication Highlights
Links of Interest
Severity metric helps studies address autism's variability (Spectrum, July 2014)