I am a survey statistician who develops estimation techniques that combine complex survey data with big data sources. Whether it’s to estimate official statistics, related to canopy cover or occupational statistics, or to assess the impact of voter ID laws, I enjoy creating methods to learn from data. I also enjoy teaching my students how to learn from data and introducing them to R (an open source statistical software program). As a firm believer that undergraduate research enhances the educational experience, I involve students in my own work and co-chair two national programs: the Undergraduate Statistics Project Competition and the Electronic Undergraduate Statistics Research Conference.
PhD in Statistics, 2011
Colorado State University
Masters in Statistics, 2008
Colorado State University
BA in Mathematics, 2006
Saint Olaf College
I enjoy helping my students develop their abilities to think statistically, to understand variability, and to draw sound conclusions from data. The statistical software package R/RStudio plays a prominent role in most of my classes with the students learning a reproducible workflow through creating R Markdown reports.
Fall 2020 Courses:
Spring 2020 Courses:
I am a survey statistician and a data scientist whose scholarly activities include survey methodological developments, integrative research, applied statistical work, and software development. I greatly enjoy collaborative work and have active collaborations with the US Bureau of Labor Statistics and the US Forest Inventory and Analysis Program. For the past two summers, I have run the Reed Forestry Data Science Research Lab, a joint effort supported by Reed College, the US Forest Inventory and Analysis Program, and Swarthmore College.
Current Projects:
Within the Reed Forestry Data Science Lab:
pdxTrees
Domain estimation and calibration using regression trees.
Publications and Technical Reports:
I am teaching Math 241: Data Science this spring. As part of the course, the students are writing blog posts which can be found at reed.edu/math/241. The first batch are up and showcase some of the awesome data packages they have made.
I had the wonderful (and terrifying) experience of being interviewed by THE Significance magazine editor, Brian Tarran, about my work estimating the impacts of voter ID laws. Significance teamed up with the always amazing Stats + Stories to provide coverage on JSM 2019. You can listen to the interview here.