I’m someone who loves finding patterns in data and turning them into
meaningful stories.
Building on my background in statistics, I’m
excited to deepen my expertise in biostatistics to contribute to
meaningful improvements in healthcare and medical research. My passion
for problem-solving keeps me curious and ready to take on new
challenges.
With a background in Information and Statistics from Gyeongsang National
University in South Korea (Feb 2019), I’ve built a strong foundation in
data analysis and statistical methods.
I’ll begin my MS in
Biostatistics at Georgetown University in Fall 2025 to further
strengthen my technical skills and apply them to public health and
medical data.
Aspiring Biostatistician
I chose biostatistics with the
hope of using data to improve people’s lives in meaningful ways.
I’m especially interested in contributing to cancer research through
statistical modeling and data-driven analysis. By applying
biostatistical methods to real-world clinical data, I aim to support the
development of better treatments, inform evidence-based policies, and
ultimately improve patient outcomes.
| Strength | Tools |
|---|---|
| R, Python, SAS, SPSS, AMOS, Minitab | |
| SQL, MySQL, PostgreSQL | |
| ggplot2, matplotlib, seaborn | |
| GitHub |
In my free time, I enjoy dancing, playing the piano, traveling, and writing blogs.
If you’d like to connect, collaborate, or discuss anything data-related, feel free to reach out via the email or LinkedIn, or explore my GitHub projects for more insights into my work.