ROBERTA DE VITO

a.a. 2025/2026 - II semestre
[Laboratorio Di Software Statistici]
SG-SES
Le lezioni del corso di Laboratorio di Software Statistici inizieranno lunedi 23 Febbraio 2026 pv, in presenza, e seguiranno l'orario seguente (pubblicato sul sito del Catalogo dei Corsi di Ateneo)
 
lun 12-14
aula 17 (Tib.)
 
Gli studenti possono consultare il materiale accedendo alla pagina moodle del corso
https://elearning.uniroma1.it/course/view.php?id=17894
 
 
A.A. 2025/2026 - II semestre
[Statistics, L-31 Applied Computer Science and Artificial Intelligence]
All course materials will be available on the Moodle course page.
monday 14-17
wednesday 15-17
aula 3 de lollis via tiburtina 205

Roberta De Vito, PhD

Academic Positions
• Assistant Professor of Statistics, Department of Statistical Science, Sapienza University of Rome (Rome, Italy) — May 2025 - Present
• Adjunct Professor of Biostatistics and Data Science Institute, Brown University (Providence, USA) — May 2025 - Present
• Thomas J. and Alice M. Tisch Assistant Professor of Biostatistics and Data Science, Brown University (Providence, USA) — Aug 2023 - 2025
• Assistant Professor of Biostatistics and Data Science Institute, Department of Biostatistics and Data Science Institute, Brown University (Providence, USA) — Jan 2020 - 2025
• Postdoctoral Research Fellow, Department of Computer Science, Princeton University (Princeton, USA) — Jul 2016 - Aug 2019
• Research Assistant, Department of Biostatistics and Computational Biology, Harvard T.H. Chan School of Public Health & Dana-Farber Cancer Institute (Boston, USA) — Feb 2016 - Jun 2016

Honors & Awards
• Rita Levi Montalcini Program for Young Researchers (2024)
• W. J. Youden Award in Interlaboratory Testing (2022)
• IBS-IR Inter-Region and Network Funding Award (2019)
• ISBA World Meeting Travel Award (2018)
• BNP-ISBA Travel Award (2017)
• Women in Machine learning (WiML) Travel grant (2016)
• Best Poster Award, Reproducibility in Personalized Medicine Research (2016)
• ISBA Travel Award (2016)
• Research Fellowship and Award for Study and Research Abroad (2014-2015)
• MSc Thesis Award - research at Harvard T.H. Chan School of Public Health (2011)
• Study Fellowship, Università di Roma - Sapienza (2010-2011)
• Erasmus Fellowship, Southampton University, UK (2008)

Selected Peer‑Reviewed Publications
1. Cabral-Marquesa O., Marquesa A., Giil L., De Vito R., Rademacherf J., Ganther J., Lange
T., Humrich J. Y., Klapa S., Schinke S., Schimkea L.F., Marschner G., Pitann S., Mastroianni
J., Adler S., Dechend R., Moller D., Braicu I., Sehouli J., Schulze-Forster K., Trippelm T.,
Scheibenbogen C., Sta  A., Mertens P.R., Lobelr M., Dragun D., Engelhardt B. E., Fernandez-
Cabezudo M.J., Ochs H.D., al-Ramadi B.K., Lamprecht P., Mueller A., Heidecke H., Riemekas-
ten G. (2018) Network-based analysis reveals signatures of IgG autoantibodies tar-
geting G protein-coupled receptors in healthy and diseases, Nature Communications,
9(1): 5224-5238.
2. De Vito R.y, Bellio R., Trippa L., and Parmigiani G. (2019) Multi-study Factor Analysis,
Biometrics, 75(1): 337-346 .
arXiv reference: 1611.06350. With R package.
3. De Vito R., Lee Y. C. A., Parpinel M., Serraino D., Olshan A. F., Zevallos J. P., Zhang Z. F.,
Morgenstern H., Levi F., Kelsey K., McClean M., Bosetti C., Schantz S., Yu G. P., Bo etta P.,
Chuang S. C., Hashibe M., La Vecchia C., Parmigiani G., and Edefonti V. (2019) Shared and
study-speci c dietary patterns and head and neck cancer risk in an international
consortium, Epidemiology, 30(1): 93-102.
4. Edefonti V., De Vito R., Dalmartella M., Patel L., Salvatori A., and Ferraroni M. (2020) Re-
producibility and Validity of a Posteriori Dietary Patterns: a Systematic Review,
Advances in Nutrition, 11(2): 293-326.
5. Edefonti V., De Vito R., Dalmartella M., and Ferraroni M. (2020) Reproducibility of a
posteriori dietary patterns across time and studies a systematic review, Advances in
Nutrition, 11(5), 1255-1281.
6. De Vito R., Bellio R., Trippa L., and Parmigiani G. Bayesian Multi-study Factor Anal-
ysis for High-throughput Biological Data, Annal of Applied Statistics, 15 (4), 1723-1741.
arXiv reference: 1806.09896. With R package.
Winner of 2022 W. J. Youden Award in Interlaboratory Testing
7. Avalos-Pacheco A., De Vito R., and Wade S. (2021) Discussion of \Centered Partition
Processes: Informative Priors for Clustering" by Paganin et al., Bayesian Analysis,
1(1), 1-32.
8. Salgado R.C., Fonseca D.L.M., Marques A.H.C., Napoleao S.M., Franca T.T., Akashi K.T.,
Prado C.A.S., Baiocchi G.C., Placa D.R., Jansen-Marques G., Filgueiras I.S., De Vito R.,
et al. (2022) The network interplay of interferon and toll-like receptor signaling
pathways in the anti-Candida immune response, Scienti c Reports, 11 (1), 1-17.
9. Sotzny F., Filgueiras I.S., Kedor C., Freitag H., Kirsten W., Bauer S.M., Sepulveda N., da
Fonseca D.L.M, Baiocchi G.C., Marques A.H.C., Kim M., Lange T., Placa D.R, Luebber F.,
Paulus F.M., De Vito R., et al. (2022) Dysregulated autoantibodies targeting vaso- and im-
munoregulatory receptors in Post COVID Syndrome correlate with symptom severity, Frontiers
Immunology, 13 (1), 1-17.
10. Shutta K.H., Roberta De Vito#, Denise M. Scholtens D.M., Balasubramanian R. (2022)
Gaussian Graphical Models with Applications to Omics Analyses, Statistics in Medicine, 41
(25), 5150-5187.
11. Lewis N., Chambers L.C., Chu H.T., Fortnam, T., De Vito R., Gargano L.M., Chan P.A.,
McDonald J., Hogan J.W. (2022) E ectiveness Associated With Vaccination After
COVID-19 Recovery in Preventing Reinfection, JAMA Network Open, 5 (7), 1-11.
12. Vistica-Sampino E., Morgan J., Chorzalska A., Nguyen L., Rodriguez A., Bonal D., Kim M.,
De Vito R., Lulla R., Dubielecka P. (2022) Comparative
ow cytometry-based im-
munophenotyping analysis of peripheral blood leukocytes before and after  xation
with paraformaldehyde, Journal of Immunological Methods, accepted.
13. Chambers L.C., Chu H.T., Lewis N., Kamat G., Fortnam T., De Vito R., Chan P.A., Lasher
L., McDonald J., Alexander-Scott N., Hogan J.W. (2022) E ectiveness of Monoclonal
Antibody Therapy for Preventing COVID-19 Hospitalization and Mortality in a
Statewide Population. Rhode Island Medical Journal, accepted.
14. De Vito R., Fiori F. , Ferraroni M., Cavalli S., Caporali R., Ingegnoli F., Parpinel M., Edefonti
V. (2023) Olive Oil and Nuts in Rheumatoid Arthritis Disease Activity, Nutrients 15
(4) 1-14.
15. Baiocchi G.C., Vojdani A., Rosenberg A.Z., Vojdani E., Halpert G., Ostrinski Y., Zyskind I.,
Filgueiras I.S., Schimke L.F., Marques A.H., Giil, L.M., Lavi B., Silverberg J.I., Zimmerman
J., Hill D. A., Thornton A., Kim M, De Vito R., et al. (2023). Cross-sectional analy-
sis reveals autoantibody signatures associated with COVID-19 severity. Journal of
Medical Virology, 95, 1-13.
16. Grabsky I. N., De Vito R., Trippa L., and Parmigiani G. (2023) Bayesian Combinatorial
Multi-Study Factor Analysis, Annal of Applied Statistics, 17 (3), 2212-2225.
arXiv reference: 2007.12616.
17. Kim M, De Vito R.#, et al. (2023). Boil water alerts and their impact on the unex-
cused absence rate in public schools in Jackson, Mississippi. Nature Water, 1 (4),
359-369.
18. De Vito R., et al. (2023). Does Pizza Consumption Favor an Improved Disease
Activity in Rheumatoid Arthritis? Nutrients, 15 (15), 34-49.
19. Edefonti V, De Vito R.y, Parpinel, M., and Ferraroni, M. (2024). Dietary patterns and
cancer risk: an overview with focus on methods The New England Journal of Statistics
in Data Science, 2 (1), 30-53.
20. De Vito R., Menzio M., Lacqua P., Castellari S., Colognese A., Collatuzzo G., Russignaga
D., Bo etta P. (2024), Determinants of COVID-19 Infection among Employees of an
Italian Financial Institution, Work, Environment, Health, 115(1), 1-15.
21. Hansen B., Avalos-Pacheco A., Russo M., De Vito R.y;# (2025), Fast Variational Infer-
ence for Bayesian Factor Analysis in Single and Multi-Study Settings, Journal of
Computational and Graphical Statistics, 34(1), 96-108
arXiv: 2305.13188
2024 NESS Best Student paper award
2024 ISBA Best Student poster award
22. De Vito R. , Stephenson B., et al. (2025), Shared and ethnic background site-speci c
dietary patterns in Hispanics/Latinos: the Hispanic Community Health Study/Study
of Latinos (HCHS/SOL), Nutrition Journal, 24(1), 71-84
medRxiv: 2022.06.30.22277013
23. De Vito R.y, Avalos-Pacheco A. (2025), Multi-study factor regression model: an ap-
plication in nutritional epidemiology, Statistics in Medicine, 44 (10), 100-127
arXiv: 2304.13077 With R package.
24. Sampino, E.V., Bonal, D.M., Chorzalska, A., Morgan, J., Nguyen, L., Yu, C., Rodriguez,
A., De Vito R., Pels, S., Sprinz, P.G. and McGann, P., Alterations in the humoral
immunophenotype in sickle cell disease. accepted, British journal of haematology