Ali R. Walsh, Ph.D., MFA, MPH

Ali Walsh

Research Fellow
Department of Systems, Populations and Leadership
Room 3351 NURS1

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.

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