Affiliation: University of Washington
Collaborators: Dr. Ellen Kauffman (Clinician), Dr. Kathleen Kerr
(Biostatistician)
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Analyze CDC National Vital Statistics System (NVSS) natality data
to investigate racial disparities in cesarean birth, induction of
labor, and birth pathways.
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Develop and implement data preprocessing workflows in Python to
filter large public-use datasets, transform variables, and compress
files for efficient analysis.
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Conduct stratified analyses in R and develop data visualizations
to characterize differences in birth outcomes across racial groups,
regions, and comorbidity burden.
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Communicate analytical decisions and findings to clinical and
quantitative collaborators through visualizations and written
summaries.
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Co-author a manuscript and a research letter examining racial
disparities in cesarean birth and trial of labor after cesarean
(TOLAC) and vaginal birth after cesarean (VBAC) outcomes.
Affiliation: Downtown Emergency Service Center (DESC), University
of Washington
Collaborators: Josh Manandhar (MS Student), Tariq Cisse (MS Student)
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Work with the Downtown Emergency Service Center (DESC) to analyze
the effectiveness of the Stability Through Access and Resources
(STAR) Center, alongside its accessibility among varying
demographics.
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Draft a statistical analysis plan (SAP) for future work in data
preprocessing, missing data methods, descriptive analyses, and
statistical analyses.
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Create a project management plan (PMP) for even distribution of
workload, ensuring utilization of individuals’ specific skills.
Affiliation: University of Illinois Springfield
Supervisor: Dr. Hei-Chi Chan
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Designed a study evaluating AI-generated poetry using structured
linguistic and statistical criteria.
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Presented findings at the UIS STARS Symposium and discussed the
project in an interview with the UIS AI Campus Learning Community.