Dynamic Network Neuroscience & Psychiatry

I study how dynamics of large-scale brain networks give rise to behavior, how their disruption underlies psychiatric illness, and how clinical interventions can reorganize this network architecture to drive therapeutic change.

I am a Postdoctoral Fellow in the Center for Computational Psychiatry and Depression and Anxiety Center at the Icahn School of Medicine at Mount Sinai.

My training spans applied mathematics, dynamical systems, topological data analysis, and clinical neuroimaging. My research focuses on data-driven study of the brain. In particular, I develop brain network modeling frameworks, drawing on network science and unsupervised machine learning approaches, to extract clinically relevant neuroimaging biomarkers from multimodal data (fMRI, dMRI, EEG) across psychiatric populations.

Current Research

Brain State Dynamics in Major Depressive Disorder Using coactivation pattern analysis and Network Control Theory in 7T resting-state fMRI.
Decision Making in Compulsivity Related Disorders Studying latent cognitive processes in Obsessive-Compulsive Disorder and Binge-Eating Disorder linked to behavioral modeling and task-fMRI.
Functional Connectivity Gradients in Eating Disorders Investigating relationship between metabolic states and cortical organization in Bulimia Nervosa via gradient analysis and coactivation patterns.
Rapid-Acting Psychedelics & Treatment Response Analyzing effects of ketamine and psilocybin on large-scale connectivity and dynamics in psychiatric conditions.

Education

2017 – 2023
Ph.D., Applied Mathematics University at Buffalo, State University of New York "Characterizing Dynamics on and of Networks via Higher-Order Interactions: Applications in Computational Neuroscience"
2012 – 2017
B.S., Mathematics Boğaziçi University, İstanbul, Türkiye

Appointments

2024 – present
Postdoctoral Fellow Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY
2023 – 2024
Postdoctoral Research Fellow Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH
2023 – 2025
Visiting Assistant Professor Department of Mathematics, University at Buffalo, SUNY, NY
2019 – 2023
Graduate Research Assistant Department of Mathematics, University at Buffalo, SUNY, NY
2017 – 2022
Graduate Teaching Assistant Department of Mathematics, University at Buffalo, SUNY, NY

Selected Publications

Kilic BÜ, Jubeir J, Balchandani P, Murrough JW, Morris LS, Jacob Y. Spatiotemporal asymmetries on brain energy landscape uncover system entrapment related to depression severity. Nature Communications, 2026.
Kilic BÜ, Muldoon SF. Skeleton coupling: a novel interlayer mapping of community evolution in temporal networks. Journal of Complex Networks, 12(2), 2024.
Kilic BÜ, Taylor D. Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes. Communications Physics, 5, 278, 2022.

Full list on Google Scholar.

Resources

Content coming soon.

Code & Software

Links to open-source packages and analysis pipelines — coming soon.

Teaching Materials

Course notes, slides, and tutorials — coming soon.

Reading List

Papers, books, and links I find useful — coming soon.

Other

Additional resources — coming soon.