Ali R. Walsh, Ph.D., MFA, MPH
University of Michigan School of Nursing
400 North Ingalls Building
Ann Arbor, MI 48109-5482
Interests
- Data quality in sex research
- Disparities in access to healthcare
- Social network analysis
- Behavioral interventions
- Adolescent health
Dr. Walsh’s research interests include data quality, particularly in sexual health research; disparities in access to healthcare providers and resources; and social network analysis, specifically, how individual and structural social features are associated with healthcare utilization, behavior change, and research participation.
Current Research Grants and Programs
- MSM and Tracking Couples’ Habits (MATCH): A longitudinal study of male couples’ self-reports of sexual behavior, University of Michigan Institute for Social Research Population Studies Center (PSC), co-PI.
- The COVID couples study, PI.
Teaching
As a doctoral student at the University of Michigan School of Public Health, Dr. Walsh worked as a graduate student instructor for multiple graduate and undergraduate epidemiology and public health courses. She currently co-coaches the ‘Disease Detectives’ event for a local middle school Science Olympiad team.
Affiliations / Service
- Sponsorship Chair, Colorectal Cancer Alliance Detroit Undy Engagement Committee, 2019-present
- Co-coach, Slauson Middle School Science Olympiad (Disease Detectives), 2018-present
- Member, Society for Epidemiologic Research, 2012-present
Notable Awards / Honors
- One Term Dissertation Fellowship, University of Michigan Rackham Graduate School, 2017
- Doctoral Program Day Best Poster/Presentation Award, University of Michigan School of Public Health Department of Epidemiology, 2015
Education
- Ph.D., University of Michigan, Ann Arbor, MI, 2019
- MPH, University of Michigan, Ann Arbor, MI, 2013
- MFA, Brooklyn College, Brooklyn, NY, 2007
- BA, Grinnell College, Grinnell, IA, 2001
Publication Highlights
Walsh, A., & Stephenson, R. (2021). Positive and negative impacts of the COVID-19 pandemic on relationship satisfaction in male couples. American Journal of Men’s Health. https://doi.org/10.1177/15579883211022180.
Walsh, A., Sullivan, S., & Stephenson, R. (2021) Inter-partner agreement of condom use and sexual positioning in male couples. The Journal of Sex Research. https://doi.org/10.1080/00224499.2021.1924606.
Walsh, A., Sullivan, S., & Stephenson, R. (2021). Are male couples changing their sexual agreements and behaviors during the COVID-19 pandemic? AIDS and Behavior. https://doi.org/10.1007/s10461-021-03256-2.
Walsh, A., Sullivan, S., & Stephenson, R. (2021). Intimate partner violence experiences during COVID-19 among male couples. Journal of Interpersonal Violence. https://doi.org/10.1177/08862605211005135.
Walsh, A., & Stephenson, R., (2021). Assessing the reliability of self-reported sexual behavior among male couples. Arch Sex Behav 50, 1067–1086. https://doi.org/10.1007/s10508-020-01857-x.
Stephenson R, Walsh A., Chavanduka T, Sallabank G, Horvath K, Castel A, Hightow-Weidman L, Bauermeister J, & Sullivan P. (in press). Widespread closure of HIV prevention and care services places youth at higher risk during the COVID-19 epidemic. PLoS One.
Zivich, P.N., Huang, W., Walsh, A., Dutta, P., Eisenberg, M., & Aiello, A.E., (2021). Measuring office workplace interactions and hand hygiene behaviors through electronic sensors: A feasibility study. PLoS One, 16. https://doi.org/10.1371/journal.pone.0243358.
Aiello, A., Simanek, A., Eisenberg, M., Walsh, A., Davis, B., Volz, E., Cheng, C., Rainey, J., Uzicanin, A., Gao, H., Osgood, N., Knowles, D., Stanley, K., Tarter, K., & Monto, A. (2016). Design and methods of a social network isolation study for reducing respiratory infection transmission: The eX-FLU cluster randomized trial. Epidemics 15, 38–55. https://doi.org/10.1016/j.epidem.2016.01.001
Fan, K., Eisenberg, M., Walsh, A., Aiello, A., & Heller, K., (2015). Hierarchical graph-coupled HMMs for heterogeneous personalized health data, in: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, New York, NY, USA, pp. 239–248. https://doi.org/10.1145/2783258.2783326.
