Andrew Bray

Andrew Bray is an Assistant Professor of Statistics at Reed College. If you are interested in writing a thesis on statistics, please click here for a list of topic ideas.

Teaching

• Introduction to Probability and Statistics
• Statistical Learning (Fall 2019)
• Mathematical Statistics (Spring 2018)
• Case Studies in Data Science: Civic Data (Spring 2018)
• Case Studies in Data Science: Elections (Spring 2017)
• Probability
• Applied Regression Methods

I have also created a series of online intro stats courses together with DataCamp, an interactive platform to learn R and data science.

Projects

• Technology use and teen mental health: an informal summary of the research.
• Differentially Private Hypothesis Testing: an NSF-supported research project to adapt statistical methods for the framework of differential privacy.
• infer: an R package for tidyverse-friendly statistical inference.
• stats.org: a collaborative project with the American Statistical Association to improve statistical literacy among journalists, academic journal editors, and researchers.
• OpenIntro: developing free and open source educational resources for statistics.

Recent Papers

• Till A., Rypel A., Bray A., & Fey S. (2019). Fish die-offs are concurrent with thermal extremes in north temperate lakes. Nature Climate Change, DOI: 10.1038/s41558-019-0520-y
• Couch S., Kazan Z., Shi K., Bray A., & Groce A. (2019). Differentially Private Nonparametric Hypothesis Testing. 26th ACM Conference on Computer and Communications Security. London, United Kingdom.
• Swanberg M., Globus-Harris I., Griffith I., Groce A., & Bray A. (2019). Improved Differentially Private Analysis of Variance. Proceedings of the 19th Privacy Enhancing Technologies Symposium. Stockholm, Sweden.
• Deveaux D., Bray A., et al. (2017). Curriculum Guidelines for Undergraduate Programs in Data Science. Annual Review of Statistics and Its Applications, 4:2.1-2.16