👋 Hi, I’m Rosie Kwon, a graduate student in Biostatistics.
I’m passionate about using data to explore patterns in human health and behavior.

Research Interests

  • Data-driven approaches to understanding human behavior and health
  • Mental health data analysis and visualization
  • Statistical modeling and causal inference

🏫 Education

M.S. in Biostatistics

Institution: Columbia University
Duration: 2025 – Expected 2027
Focus: Statistical Modeling, Epidemiology, and Data Visualization
Relevant Courses: Biostatistical Methods, Machine Learning, Public Health Data Science

B.S. in Biomedical Engineering

Institution: University of Michigan
Graduated: 2022
Focus: Medical Data Analysis, Computational Modeling, and Healthcare Technology
Honors / Activities: Dean’s List, Research Assistant in Neuroengineering Lab

🧪 Research Experience

Center for Digital Health, Kyunghee University Medical Center

Researcher | Seoul, Korea / Remote | 2022 – Present
- Conducted a 15-year trend analysis of physical activity in South Korea using KYRBS data (2009–2021).
- Applied SAS, SPSS, and R for statistical modeling and data visualization.
- First-authored a publication in Journal of Medical Virology on national physical activity trends.

Integrated Brain Imaging Lab, University of Michigan

Undergraduate Research Assistant | Ann Arbor, MI | 2021 – 2022
- Investigated brain–gut interactions using physiological recordings and fMRI data.
- Analyzed neural and gastric coupling using Python and MATLAB.

Department of Nuclear Medicine, Keimyung University Dongsan Hospital

Researcher | Daegu, Korea | 2021
- Predicted lymph node metastasis in breast cancer using PET/CT and deep learning.
- Extracted imaging features with 3D Slicer and Pyradiomics. - First-authored a publication in Diagnostic on prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma.

🧠 Skills

  • Programming: R, Python, SAS
  • Statistical Modeling: Linear/Logistic Regression, Mixed Models

Last updated: 2025-10-28