Hwasoo Shin, PhD

Additional Degrees

• PhD, Statistics, Virginia Tech, 2024
• BS, Mathematics and Statistics, Sungshin Women’s University, South Korea, 2019

Biographical Statement

As a Biostatistics faculty member in the Department of Public Health Sciences at Henry Ford Health, I aim to deliver research that enhances our understanding of patients and improves the quality of care. My research expertise are Bayesian methods, dimension reduction, clustering techniques, and spatiotemporal correlations.

At Henry Ford Health, I collaborate closely with clinicians and surgeons with a specific focus on neuroscience. I previously worked on a project investigating the recovery processes of patients with opioid use disorder. My experience ranges from applying statistical models, including mixed models and machine learning techniques, to analyzing clinical data.

I have developed Bayesian factor models and identified meaningful subgroups through Gaussian mixture models. In collaboration with the research team, I have contributed to study design, data integration, and publication of papers that explore the trajectories of recovery and the key variables influencing successful outcomes. Additionally, I have built R packages to enhance the efficiency of MCMC computations.

Titles

• Assistant Scientist, Public Health Sciences

Research Interests

• Neurology/Neuroscience, Bayesian Statistics, Spatiotemporal Analysis, Clustering Methods

Awards & Honors

• 2017, University President Prize for excellent corporate analysis, Sungshin Women’s University