Xinyi Sun
Biostatistician
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolXinyi Sun is a biostatistician and incoming PhD student in Epidemiology at Johns Hopkins with nine years of quantitative research experience applying causal inference and survival analysis to pharmacoepidemiology, health disparities, and precision medicine. Based in Baltimore, she has driven policy-relevant studies using real-world data—from EHR analyses of pulse oximeter racial bias to SEER‑Medicare and claims-based evaluations of cancer therapies combined with antidiabetic agents. Her work blends rigorous methods (e.g., G‑computation) with practical implementation in SAS and large administrative datasets, producing findings presented at institutional research retreats. Known for interrogating measurement bias as a driver of treatment disparities, she brings a translational mindset that connects statistical rigor to equity-focused clinical questions.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Medicine, Bachelor of Surgery - MBBS, Public Health, Bachelor of Medicine, Bachelor of Surgery - MBBS, Public Health at Sun Yat-sen UniversityEpidemiology, Epidemiology at Johns Hopkins Bloomberg School of Public Health
Github Skills (83)
decomposition10
mri9
mimosa9
travis-ci9
medicine9
biomedical9
dimensions9
image-analysis8
r8
statistical-learning8
continuous-testing8
prediction8
medical-imaging8
robust8
itk8
Programming languages (8)
Github contributions (5)
adigherman/kirby21.mricloud
Oct 2017 - Mar 2020
Contributions:2 PRs, 11 pushes, 1 branch in 2 years 5 months
adigherman/neuroc-docker
Oct 2016 - Apr 2020
Contributions:34 pushes, 1 branch in 3 years 7 months
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