About Me

Hi, this is Junxian Chen, a current Master of Science student studying biostatistics at Columbia University Mailman School of Public Health.

I love statistics, data analyses and programming, and desire to pursue a career in the field of data science.

At present, I have solid knowledge in statistics including causal inference and regression, modeling, time-series analysis, high-dimensional data analysis, etc. Besides, I got considerable training in computing and programming, especially in R and Python, in which I learned to perform data wrangling, pipelining, visualizations, and produce analysis reports, etc.I am also familiar with machine learning and computer system for data science.

Besides taking courses, I have participated in multiple scientific research projects with professors and researchers. During those projects, I helped develop statistical methodology, conduct statistical analysis, and design algorithms for simulations.

Want to learn more about my experiences?

Sure! You can learn more about me and see my resume here!


My Projects

You can view my selected projects and homeworks in data analyses here or click the ‘My Projects’ buttom on the site navigation bar.


Data Science Notes

You can view some data science notes in R here or click the ‘Data Science Notes’ buttom on the site navigation bar.


Data Visualization Examples

You can view some data visualization examples in R by clicking the ‘Data Visualizations’ buttom on the site navigation bar. You will see a drop-down menu contains ‘Plotly Example Code’ and ‘Dashboard Example’.


Contact Me

Junxian Chen
Department of Biostatistics
Columbia Mailman School of Public Health
722 West 168th Street
New York, New York 10032

Email:

If you would like to contact me, please don’t hesitate to send me an email. Also, feel free to visit my Github and Linkedln page to get connection with me!