Xin Zhang, MPH, MS

About Me

PhD candidate in Environmental Health Sciences and Scientific Computing, specializing in risk prediction of hearing impairment and non-auditory outcomes (e.g., dementia, sleep disorders) using multimodal data from health wearables. Particularly interested in exposures and health outcomes among high-risk occupational groups. Experienced in building scalable data pipelines and modeling physiological responses to environmental exposures.

Education

• PhD in Environmental Health Science and Scientific Computing, University of Michigan, expected 2025
• MS in Biostatistics, University of Michigan, 2022-2025
• MPH in Environmental Health Sciences, University of Michigan, 2018-2020
• BS in Psychology and Cognitive Science, Peking University, 2015-2018
• BS in Nursing, Peking University, 2014-2018

Awards and Scholarships

• Rackham International Students Fellowship/Chia-Lun Lo Fellowship (2024)
• Undergraduate Research Opportunity Program Outstanding Mentor Award (2024)
• The Michigan Industrial Hygiene Merit Society Scholarship (2021)
• The National Science Foundation International Global Scholarship (2018-2020)
• Peking University Student of Merit (2017)

Selected Publications

Zhang, X., Alves, S., Jiang, K., Myers, C., Reed, N., Deal, J.. The association between excessive noise exposure and cognitive decline in Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). Manuscript in preparation.

Tang, Y, Zhang, X., Smith, L.M. et al. Tinnitus Prevalence, Characteristics in the United States – Insights from Apple Hearing Study. Manuscript in preparation.

Zhang, X., Wu, J., Smith, L.M. et al. (2022). Monitoring SARS-CoV-2 in air and on surfaces and estimating infection risk in buildings and buses on a university campus. J Expo Sci Environ Epidemiol. DOI: 10.1038/s41370-022-00442-9

Zhang, X., Shkembi, A., Smith, L. M., & Neitzel, R. L. (2023). Noise exposure and acute changes to monitored heart rate among electronic-waste recycling workers. ISEE Conference Abstracts, Vol. 2023, No. 1. DOI: 10.1289/isee.2023.OP-372