Anthony J. Rosellini, PhD
Associate Professor
Boston University School of Public Health
Epidemiology

PhD, Boston University
MA, Boston University
BA, Boston University



Dr. Rosellini is an Associate Professor in the Department of Epidemiology and School of Public Health. He also holds an adjunct appointment in the Department of Psychological and Brain Sciences and at the Center for Anxiety and Related Disorders, where he was previously a Research Assistant Professor (2016-2022).

Dr. Rosellini studies the etiology and course of anxiety and mood disorders – also known as internalizing psychopathology. His research uses a combination of clinical psychological and epidemiologic methods to:
(1) Identify and understand the emotional, psychological, and environmental factors (e.g., personality, emotion regulation, stress, trauma) associated with the development and persistence of internalizing psychopathology.
(2) Develop clinically-usefully risk tools that optimally predict the onset, severity, course, and treatment response of internalizing psychopathology and associated behavioral outcomes (e.g., suicide).
(3) Improve clinical assessment, diagnosis, and classification

Dr. Rosellini received his Ph.D. in clinical psychology from Boston University. He previously worked as a Research Associate in the Department of Health Care Policy at Harvard Medical School, where he also completed a postdoctoral fellowship in psychiatric epidemiology.

Diversity, Equity, Inclusion and Accessibility

Think
-I believe it is unethical to engage in research that could maintain or exacerbate discrimination, stigma, or inequity, and that it is necessary to anticipate how research findings could lead to such outcomes. I critically evaluate my own research questions and findings from the perspective of how they might impact diversity, equity, and inclusivity.
-I have collaborated with several students (e.g., through UROP) on DEIA-focused projects using publicly available data sources (e.g., examining the association between income inequality and depression severity; how discrimination and stigma impacts mental health among LGBT populations).

Teach
-I try to foster a open, safe, and nonjudgmental environment where mentees and students are comfortable sharing their ideas, opinions, and goals. Students and trainees must feel safe to test out theories and be wrong, and teachers must demonstrate that they are nonjudgmental when discussing concepts and answering questions.
-I teach Mental Health Epidemiology (SPH EP790) and am currently revising the syllabus using the BUSPH Syllabus Assessment Tool, to ensure that the course is consistent with the school's commitment to advancing diversity, equity, inclusion, and justice.

Do
-I serve on the BUSPH Diversity, Equity, Inclusion, and Justice Committee (DEIJ-C) as a Departmental Representative (Epidemiology). I also am a member of the BUSPH Department of Epidemiology Antiracism Committee (ARC)
-Between 2016 and 2022, I served as the co-chair of Boston University’s Clinical Psychology Colloquium Committee (Department of Psychological and Brain Sciences). A central mission of the Colloquium Committee was to invite scholars from underrepresented groups to speak about issues related to DEIA (e.g., neuroscientific basis of prejudice and dehumanization)
-My training as a cognitive-behavioral therapist has greatly impacted how I think about issues related to diversity, equity, and inclusivity in my research, mentorship, and teaching. I completed my clinical internship training year at the University of Mississippi Medical Center/VA Medical Center in Jackson, Mississippi, an area with among the highest rates of poverty and health problems in the United States. As a graduate student, I completed a clinical placement at a methadone clinic located off Mass Ave and close to BUMC, providing cognitive-behavioral and 12-step based treatments to individuals with opioid use disorders, several of whom were homeless.


Identifying the longitudinal outcomes of suicide loss in a population-based cohort
09/06/2023 - 07/31/2027 (Multi-PI)
PI: Anthony J. Rosellini, PhD
NIH/National Institute of Mental Health
5R01MH133670-03

Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety
09/01/2022 - 06/30/2027 (PI)
NIH/National Institute of Mental Health
5R01MH128377-04

Personnel Agreement for Research Services of Anthony Rosellini
05/01/2023 - 04/30/2025 (Key Person)
PI: Jaimie L. Gradus, DMSc, DSc, MPH
VA Maryland Health Care System


Interpersonnel Agreement for Anthony Rosellini
08/01/2020 - 07/31/2022 (PI)
VA Boston Healthcare System


Using Causal Inference and Machine Learning Methods to Predict Cognitive Behavioral Treatment Response
04/09/2019 - 02/28/2022 (PI)
NIH/National Institute of Mental Health
5R21MH119492-02

Developing Risk Algorithms of Internalizing Disorder Etiology and Course
12/01/2016 - 08/31/2020 (PI)
NIH/National Institute of Mental Health
5K01MH106710-05



Title


Yr Title Project-Sub Proj Pubs
2025 Identifying the longitudinal outcomes of suicide loss in a population-based cohort 5R01MH133670-03
2025 Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety 5R01MH128377-04
2024 Identifying the longitudinal outcomes of suicide loss in a population-based cohort 5R01MH133670-02
2024 Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety 3R01MH128377-03S1
2024 Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety 5R01MH128377-03
2023 Identifying the longitudinal outcomes of suicide loss in a population-based cohort 1R01MH133670-01
2023 Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety 3R01MH128377-02S1
2023 Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety 5R01MH128377-02
2020 Using Causal Inference and Machine Learning Methods to Predict Cognitive Behavioral Treatment Response 5R21MH119492-02
2019 Using Causal Inference and Machine Learning Methods to Predict Cognitive Behavioral Treatment Response 1R21MH119492-01
Showing 10 of 15 results. Show All Results

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Paz, Y. Vogel, S. Goh, P. K. Perkins, E. R. Broussard, A. Huth, N. Rosellini, A. J. Mills-Koonce, R. Willoughby, M. T. Wagner, N. J. Waller, R. . Using machine learning to identify parenting features prospectively related to callous-unemotional traits from infancy to early adolescence. Psychological Medicine. 2025; (in press).
  2. Cornacchione Ross J, Jebai R, Gray JC, Rosellini AJ, Little MA, Adams RS. Tobacco Product Use and Type by Military Veteran Status: Findings from the National Health Interview Survey, 2021-2023. Nicotine Tob Res. 2025 Dec 23; 28(1):79-89. PMID: 41035128; PMCID: PMC12723235; DOI: 10.1093/ntr/ntaf142;
     
  3. Slimovitch, R Flesaker, M Rosellini, AJ Gradus, JL . Suicide loss and its impact on mortality, mental, physical, and social health outcomes: a systematic review of registry-based studies. Harvard Reviews Psychiatry. 2025; (in press).
  4. Rubenstein E, Tewolde S, Michals A, Fortea J, Jimenez MP, Skotko BG, Tripodis Y, Weuve J, Rosellini AJ. Novel predictors of Alzheimer's disease in Down syndrome identified using machine learning. J Alzheimers Dis. 2025 Dec; 108(3):1166-1176.View Related Profiles. PMID: 41105592; DOI: 10.1177/13872877251385423;
     
  5. Flesaker M, Schneider B, Patterson A, Rosellini AJ, Lipson SK, Gradus JL. Co-occurrence of racism-based trauma symptoms and depressive symptoms among college students of color. Psychol Trauma. 2025 Sep 29. PMID: 41021495; PMCID: PMC12483183; DOI: 10.1037/tra0002042;
     
  6. Kim N, Bloom PA, Rosellini AJ, Webb CA, Pizzagalli DA, Auerbach RP. Probing Neurophysiological Processes Related to Self-Referential Processing to Predict Improvement in Adolescents With Depression Receiving Cognitive Behavioral Therapy. Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 May; 10(5):485-494. PMID: 39491787; PMCID: PMC12046059; DOI: 10.1016/j.bpsc.2024.10.010;
     
  7. Jiang T, Nagy D, Rosellini AJ, Horváth-Puhó E, Keyes KM, Lash TL, Galea S, Sørensen HT, Gradus JL. Prediction of suicide attempts among persons with depression: a population-based case cohort study. Am J Epidemiol. 2024 Jun 03; 193(6):827-834.View Related Profiles. PMID: 38055633; PMCID: PMC11466851; DOI: 10.1093/aje/kwad237;
     
  8. Brown HL, Selbe SM, Flesaker M, Rosellini AJ, Maple M, Gradus JL, Cerel J. The impact of relationship type and closeness on mental health following suicide loss. Suicide Life Threat Behav. 2024 Jun; 54(3):479-488.View Related Profiles. PMID: 38375945; PMCID: PMC12168207; DOI: 10.1111/sltb.13063;
     
  9. Kofman YB, Selbe S, Szentkúti P, Horváth-Puhó E, Rosellini AJ, Lash TL, Schnurr PP, Sørensen HT, Galea S, Gradus JL, Sumner JA. Sex Differences in Psychopathology Following Potentially Traumatic Experiences. JAMA Netw Open. 2024 Feb 05; 7(2):e240201.View Related Profiles. PMID: 38386319; PMCID: PMC10884878; DOI: 10.1001/jamanetworkopen.2024.0201;
     
  10. Galiano CS, Andrea AM, Tung ES, Brown TA, Rosellini AJ. Psychometric properties of the Distress Tolerance Scale in a clinical sample. Psychol Assess. 2024 Mar; 36(3):192-199. PMID: 38206840
     
Showing 10 of 104 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 104 publications over 18 distinct years, with a maximum of 12 publications in 2021 and 2022

YearPublications
20081
20092
20102
20112
20121
20133
20148
20156
20166
20178
201810
20193
20208
202112
202212
20239
20246
20255

Contact for Mentoring:

715 Albany St
Boston MA 02118
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