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Contact
E-mail
tuncb [at] email.chop.edu
Location - People View
Room 5212

2716 South Street
Philadelphia, PA 19146
United States

Research Topics
Birkan Tunç, PhD
Birkan Tunç
Computational Scientist, Center for Autism Research

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.

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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

Tunç B, Ingalhalikar M, Parker D, Lecoeur J, Singh N, Wolf RL, Macyszyn L, Brem S, Verma R. Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning. Neurosurgery. 2016 Oct; 79(4):568-77. PMID: 26678299
Tunç B, Solmaz B, Parker D, Satterthwaite TD, Elliott MA, Calkins ME, Ruparel K, Gur RE, Gur RC, Verma R. Establishing a link between sex-related differences in the structural connectome and behaviour. Philos Trans R Soc Lond B Biol Sci. 2016 Feb; 371(1688):20150111. PMID: 26833832
Tunç B, Verma R. Unifying Inference of Meso-Scale Structures in Networks. PLoS One. 2015 Nov; 10(11):e0143133. PMID: 26569619
Tunc B, Ghanbari Y, Smith AR, Pandey J, Browne A, Schultz RT, Verma R. PUNCH: Population Characterization of Heterogeneity. Neuroimage. 2014 Sep; 98:50-60. PMID: 24799135
Tunç B, Dağlı V, Gökmen M. Class Dependent Factor Analysis and Its Application to Face Recognition. Pattern Recognition. 2012 Jan; Vol. 45 (12), pp. 4092–4102

Links of Interest