Daniel Y Chen

Daniel Y Chen is a Lecturer in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. He holds a PhD Candidate status in Genetics, Bioinformatics, and Computational Biology at Virginia Tech, focusing on data science education in the biomedical sciences. His expertise includes statistical computing, open source software development, and reproducible research practices.

Education:

• PhD Candidate (in progress): Genetics, Bioinformatics & Computational Biology, Virginia Tech
• MSc: Relevant field (implied via career progression)

Research Interests: Daniel's work bridges data science pedagogy and biomedical applications. He focuses on improving computational literacy among medical practitioners through accessible education resources, open source tools, and reproducible workflows. His technical contributions span R and Python ecosystems, including packages like grader and pyprojroot, and authoring Pandas for Everyone. He actively promotes best practices in scientific programming and collaborative software development.

Grants & Contributions:

• Contributions to RStudio's gradethis and learnr packages
• Open source maintenance (e.g., Arch Linux AUR packages)

Labs/Teams: Affiliated with UBC's Data Science for Biomedicine (DS4BIOMED) initiative and Virginia Tech's Social Decision Analytics Laboratory. Collaborates with RStudio and GitHub communities on education and tool development.