Anthony J. Rosellini, PhD
Associate Professor (appointment pending)
Boston University School of Public Health
Dept of Epidemiology

PhD, Boston University
MA, Boston University

Dr. Rosellini is an Assistant Professor in the Department of Epidemiology and School of Public Health at Boston University. He studies the etiology and course of anxiety and mood disorders – also know as internalizing psychopathology. His research uses a combination of clinical psychological and epidemiologic methods to achieve the following aims:
(1) To 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) To 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, violence perpetration/victimization).
(3) To improve the assessment, diagnosis, and classification of internalizing psychopathology

Dr. Rosellini received his Ph.D. in clinical psychology from Boston University. He completed his pre-doctoral internship training at the University of Mississippi Medical Center. 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. While at Harvard, Dr. Rosellini worked on several federally funded projects studying the prevalence, onset, and course of anxiety, depression, and violence (e.g., suicide; physical/sexual assault perpetration/victimization) in representative samples.

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

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


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. Sampson L, Cabral HJ, Rosellini AJ, Gradus JL, Cohen GH, Fink DS, King AP, Liberzon I, Galea S. Stressful life events and trajectories of depression symptoms in a U.S. military cohort. Sci Rep. 2022 Jun 30; 12(1):11026.View Related Profiles. PMID: 35773360; PMCID: PMC9246834; DOI: 10.1038/s41598-022-14496-0;
  2. Borowski S, Rosellini AJ, Street AE, Gradus JL, Vogt D. The First Year After Military Service: Predictors of U.S. Veterans' Suicidal Ideation. Am J Prev Med. 2022 Aug; 63(2):233-241.View Related Profiles. PMID: 35527173
  3. Zelkowitz RL, Jiang T, Horváth-Puhó E, Street AE, Lash TL, Sørensen HT, Rosellini AJ, Gradus JL. Predictors of nonfatal suicide attempts within 30 days of discharge from psychiatric hospitalization: Sex-specific models developed using population-based registries. J Affect Disord. 2022 Jun 01; 306:260-268.View Related Profiles. PMID: 35304235; PMCID: PMC9062818; DOI: 10.1016/j.jad.2022.03.034;
  4. Jiang T, Nagy D, Rosellini AJ, Horváth-Puhó E, Keyes KM, Lash TL, Galea S, Sørensen HT, Gradus JL. The Joint Effects of Depression and Comorbid Psychiatric Disorders on Suicide Deaths: Competing Antagonism as an Explanation for Subadditivity. Epidemiology. 2022 03 01; 33(2):295-305.View Related Profiles. PMID: 34860728
  5. Gradus JL, Rosellini AJ, Szentkúti P, Horváth-Puhó E, Smith ML, Galatzer-Levy I, Lash TL, Galea S, Schnurr PP, Sørensen HT. Pre-trauma predictors of severe psychiatric comorbidity 5 years following traumatic experiences. Int J Epidemiol. 2022 Feb 18.View Related Profiles. PMID: 35179599
  6. Gradus JL, Rosellini AJ, Szentkúti P, Horváth-Puhó E, Smith ML, Galatzer-Levy I, Lash TL, Galea S, Schnurr PP, Sørensen HT. Using Danish national registry data to understand psychopathology following potentially traumatic experiences. J Trauma Stress. 2022 Apr; 35(2):619-630.View Related Profiles. PMID: 35084778; PMCID: PMC9035023; DOI: 10.1002/jts.22777;
  7. Gradus JL, Rosellini AJ, Horváth-Puhó E, Jiang T, Street AE, Galatzer-Levy I, Lash TL, Sørensen HT. Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries. Am J Epidemiol. 2021 12 01; 190(12):2517-2527.View Related Profiles. PMID: 33877265; PMCID: PMC8796814; DOI: 10.1093/aje/kwab112;
  8. Gradus JL, Lash TL, Rosellini AJ, Galatzer-Levy I, Street AE, Jiang T, Horváth-Puhó E, Sørensen HT. Gradus et al. Respond to "Machine Learning and Suicide Prevention: New Directions". Am J Epidemiol. 2021 12 01; 190(12):2534-2535.View Related Profiles. PMID: 33878158; PMCID: PMC8796859; DOI: 10.1093/aje/kwab113;
  9. Jiang T, Nagy D, Rosellini AJ, Horváth-Puhó E, Keyes KM, Lash TL, Galea S, Sørensen HT, Gradus JL. Suicide prediction among men and women with depression: A population-based study. J Psychiatr Res. 2021 10; 142:275-282.View Related Profiles. PMID: 34403969; PMCID: PMC8456450; DOI: 10.1016/j.jpsychires.2021.08.003;
  10. Jiang T, Rosellini AJ, Horváth-Puhó E, Shiner B, Street AE, Lash TL, Sørensen HT, Gradus JL. Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark. Br J Psychiatry. 2021 08; 219(2):440-447.View Related Profiles. PMID: 33653425; PMCID: PMC8457342; DOI: 10.1192/bjp.2021.19;
Showing 10 of 68 results. Show More

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

Bar chart showing 68 publications over 15 distinct years, with a maximum of 11 publications in 2021


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715 Albany St
Boston MA 02118
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