Computational Psychopathology

We develop machine learning methods that move beyond diagnostic categories to characterize how symptoms are organized and how they change over time. This includes VISTA-SSM, our clustering method for noisy, irregular, and incomplete longitudinal data, and trajectory modeling that identifies distinct courses of adjustment to stress, loss, and treatment and the predictors that distinguish them. We also use network analysis to map relationships among symptoms and, most recently, to characterize the temporal dynamics of patient emotions turn by turn in psychotherapy samples of over thirty thousand patients.

Selected Publications

Wolfe, E. C., Su, T., Tieleman, O., Hull, T. D., Malgaroli, M., Stamatis, C. A. (2026). Engagement phenotypes for a sample of 102,684 AI mental health chatbot users and dose-response associations with clinical outcomes. arXiv preprint.

Language ModelsHuman–AIComputationalDigital Health

Sun, H. L., Chen, P., Feng, Y., Sha, S., Su, Z., Cheung, T., Ungvari, G. S., Malgaroli, M., Jackson, T., Zhang, Q., Xiang, Y. T. (2026). Prevalence and network model of depressive symptoms among older adults: Evidence based on national surveys from China, the United Kingdom, the United States, India and Mexico. Journal of Affective Disorders.

Computational

Mermin, Z., Robinaugh, D. J., Hull, T. D., Szuhany, K. L., Simon, N., Malgaroli, M. (2026). Anxiety and depression subtypes and their psychotherapy response: A network analysis of 33,675 patients. Psychological Medicine.

ComputationalDigital Health

Gabriel, S., Puri, I., Xu, X., Malgaroli, M., Ghassemi, M. (2024). Can AI relate: Testing large language model response for mental health support. Findings of the Association for Computational Linguistics: EMNLP 2024.

NLP & Language MarkersLanguage ModelsHuman–AIComputational

Chen, M. Y., Xing, H. Q., Huang, Q. H., Feng, Y., Zhang, Q., Fan, P., Xiang, Y. T. (2026). Network models of subjective sleep health: A systematic review and statistical evaluation. Sleep Medicine Reviews.

Computational

Chen, M. Y., Sun, H. L., Feng, Y., Zhang, Q., Su, Z., Cheung, T., Xiang, Y. T. (2026). A longitudinal network analysis of depressive symptoms among older adults: Findings from an 8-year prospective China national survey. Depression and Anxiety.

Computational

Brindle, B., Hull, T. D., Malgaroli, M., Charon, N. (2025). VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models. Psychological Methods.

Computational

Calderon, A., Irwin, M., Simon, N. M., Shear, M. K., Mauro, C., Zisook, S., Reynolds, C. F., III., Malgaroli, M. (2025). Depression is associated with treatment response trajectories in adults with prolonged grief disorder: A machine learning analysis. Journal of Affective Disorders.

Computational

Sönmez, C. C., Verdeli, H., Malgaroli, M., Delgadillo, J., Keller, B. (2025). Symptom networks of common mental disorders in public versus private healthcare settings in India. Cambridge Prisms: Global Mental Health.

Computational

Cai, H., Chen, M. Y., Li, X. H., Zhang, L., Su, Z., Cheung, T., Tang, Y. L., Malgaroli, M., Jackson, T., Zhang, Q. (2024). A network model of depressive and anxiety symptoms: A statistical evaluation. Molecular Psychiatry.

Computational

Mathai, D. S., Hull, T. D., Vando, L., Malgaroli, M. (2024). At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data. Journal of Affective Disorders.

ComputationalDigital Health

Malgaroli, M., Szuhany, K. L., Riley, G., Miron, C. D., Park, J. H., Rosenthal, J., Chachoua, A., Meyers, M., Simon, N. M. (2023). Heterogeneity of posttraumatic stress, depression, and fear of cancer recurrence in breast cancer survivors: A latent class analysis. Journal of Cancer Survivorship.

Computational

Malgaroli, M., Tseng, E., Hull, T. D., Jennings, E., Choudhury, T. K., Simon, N. M. (2023). Association of health care work with anxiety and depression during the COVID-19 pandemic: Structural topic modeling study. JMIR AI.

NLP & Language MarkersComputational

Szuhany, K. L., Malgaroli, M., Bonanno, G. A. (2023). Physical activity may buffer against depression and promote resilience after major life stressors. Mental Health and Physical Activity.

Computational

Malgaroli, M., Maccallum, F., Bonanno, G. A. (2022). Machine yearning: How advances in computational methods lead to new insights about reactions to loss. Current Opinion in Psychology.

Computational

Malgaroli, M., Calderon, A., Bonanno, G. A. (2021). Networks of major depressive disorder: A systematic review. Clinical Psychology Review.

Computational

Bonanno, G. A., Malgaroli, M. (2020). Trajectories of grief: Comparing symptoms from the DSM-5 and ICD-11 diagnoses. Depression and Anxiety.

Computational

Halilova, J.G., Struthers, C.W., Guilfoyle, J.R., Shoikhedbrod, A., van Monsjou, E., George, M. (2020). Does resilience help sustain relationships in the face of interpersonal transgressions? Personality and individual differences, 160, 1–8.

Computational

Malgaroli, M., Hull, T. D., Wiltsey Stirman, S., Resick, P. (2020). Message delivery for the treatment of posttraumatic stress disorder: Longitudinal observational study of symptom trajectories. Journal of Medical Internet Research.

ComputationalDigital Health

Malgaroli, M., Hull, T. D., Bantilan, N., Ray, B., Simon, N. (2020). Suicide risk automated detection using computational linguistic markers from patients’ communication with therapists. Biological Psychiatry.

NLP & Language MarkersComputational

Malgaroli, M., Maccallum, F., Bonanno, G. A. (2018). Symptoms of persistent complex bereavement disorder, depression, and PTSD in a conjugally bereaved sample: A network analysis. Psychological Medicine.

Computational

(2017). Valentina Fenaroli, Sara Molgora, Matteo Malgaroli, Emanuela Saita, The transition to motherhood and fatherhood: trajectories of wellbeing and emotional disease, on "Giornale italiano di psicologia, Rivista trimestrale" 2/2017, pp. 407-424, doi: 10.1421/87347.

Computational

Maccallum, F., Malgaroli, M., Bonanno, G. A. (2017). Networks of loss: Relationships among symptoms of prolonged grief following spousal and parental loss. Journal of Abnormal Psychology.

Computational

Malgaroli, M., Galatzer-Levy, I. R., Bonanno, G. A. (2017). Heterogeneity in Trajectories of Depression in Response to Divorce Is Associated With Differential Risk for Mortality. Clinical Psychological Science.

Computational

Molgora, S., Fenaroli, V., Malgaroli, M., Saita, E. (2017). Trajectories of postpartum depression in Italian first-time fathers. American Journal of Men’s Health.

Computational

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