Contact: abray@reed.edu

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Office: L304

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.

- 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.

- 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.

- 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