Julian Burger, Ph.D.
University of Groningen, 2023; Yale University, 2025 Assistant Professor, Clinical Psychology Dr. Burger will be reviewing graduate student applications for the upcoming calendar year (26-27). Please check this website later this fall.
Contact: Psychology B 340
Phone: (631) 632-4131
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Research Interests:
case conceptualization; LGBTQ-affirmative psychotherapy; mechanisms of psychotherapy;
natural language processing; network analysis; computational approaches; simulation-based
science; dynamical systems theory; single case experimental designs; ecological momentary
assessment
Current Research:
My research bridges clinical science and computational modeling to develop new methods for personalizing psychotherapy. I focus on advancing case conceptualization by drawing on complexity science and applying approaches such as personalized network analysis, formal theories, and natural language processing. The ultimate goal is to improve psychotherapy outcomes, particularly for populations facing disproportionate mental health challenges, including LGBTQ individuals. My program of research centers on four interconnected strands:
- Personalized network analysis.
- Developing formal theories of transdiagnostic processes.
- LGBTQ-affirmative cognitive behavioral therapy.
- Using natural language processing to study psychotherapy mechanisms.
CURRENT FUNDING
Rubicon grant (awarded by the Dutch Research Council NWO):
The New Era of Treatment Personalization: Simulating Psychotherapy Outcomes from Transdiagnostic
Processes
PUBLICATIONS: Books
Burger, J., Hoekstra, R. H., Mansueto, A. C., & Epskamp, S. (2022). Network estimation from time series and panel data. In Network psychometrics with R (pp. 169-192). Routledge.
PUBLICATIONS: Journal Articles
Burger, J., & Pachankis, J. E. (2024). State of the science: LGBTQ-affirmative psychotherapy. Behavior Therapy, 55(6), 1318-1334.
Burger, J., Epskamp, S., van der Veen, D. C., Dablander, F., Schoevers, R. A., Fried, E. I., & Riese, H. (2022). A clinical PREMISE for personalized models: Toward a formal integration of case formulations and statistical networks. Journal of Psychopathology and Clinical Science, 131(8), 906.
Burger, J., van der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020). Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis. BMC medicine, 18(1), 99.
Burger, J., Isvoranu, A. M., Lunansky, G., Haslbeck, J., Epskamp, S., Hoekstra, R. H., ... & Blanken, T. F. (2023). Reporting standards for psychological network analyses in cross-sectional data. Psychological methods, 28(4), 806.
Burger, J., Andikkhash, V., Jäger, N., Anderbro, T., Blanken, T. F., & Klintwall, L. (2024). A novel approach for constructing personalized networks from longitudinal perceived causal relations. Behaviour research and therapy, 173, 104456.
Burger, J., Stroebe, M. S., Perrig-Chiello, P., Schut, H. A., Spahni, S., Eisma, M. C., & Fried, E. I. (2020). Bereavement or breakup: Differences in networks of depression. Journal of Affective Disorders, 267, 1-8.
Burger, J., Ralph-Nearman, C., & Levinson, C. A. (2022). Integrating clinician and
patient case conceptualization with momentary assessment data to construct idiographic
networks: Moving toward personalized treatment for eating disorders. Behaviour Research and Therapy, 159, 104221.
Full list of publications can be found here:
https://scholar.google.com/citations?user=ui0bsJQAAAAJ&hl=en&oi=sra