Hi there π I’m Emily!
I am an Assistant Professor of Statistics at Cal Poly located on the central coast in San Luis Obispo, CA. My current research, in collaboration with Dr. Susan VanderPlas and Dr. Reka Howard, focuses on the use of graphical tests to evaluate data visualization design choices in order to effectively communicate the intended result. I am currently learning how to create interactive visualizations using D3.js. I am passionate about teaching, mentoring, and collaboration.
Outside of work, I enjoy outdoor recreation π π΄ πΏ, gardening π» πΏ , and reading π (check out Reese’s Book Club Picks)!
π Pronouns: she/her
Ph.D. in Statistics, 2019 - 2022
University of Nebraska - Lincoln
M.S. in Statistics, 2017 - 2019
University of Nebraska - Lincoln
B.S. in Statistics and Secondary Mathematics Education, 2013 - 2017
Winona State University
Method for graphical testing adapted from the NYTimes You Draw It feature.
Writing your UNL thesis with bookdown.
Ph.D. work in graphical testing and perception of exponentially increasing trends.
75+ clients, 100+ projects, 12 publications
Work one-on-one with clients to design experiments, conduct power analyses, summarize data, and conduct statistical analyses, interpret results, provide written research reports. Collaborate on graduate theses and manuscripts for peer reviewed journal publication.
STAT 825: Principles of Statistical Consulting, 3 credit hours
STAT 930, Advanced Consulting, 2 credit hours
Average instructor rating: 3.75/4.
STAT 218: Introduction to Statistics, 3 credit hours
STAT 380: Statistics & Applications, 3 credit hours
Courses taught: HS Geometry, College Algebra Prep, Alternative Mathematics
Lead daily class lessons, developed lesson plans, exams, and supplemental materials for learning. Aligned standards and met the 10 Standards of Effective Practice.
Tidyverse + R markdown + Xaringan
GLIMMIX/NLMIXED + MCMC/BGLIMM
Rookie
Rookie + Learning D3.js
RShiny + ggplot + plotly
Generalized Linear Mixed Models + Experimental Design + Supervised/Unsupervised Learning
Design Experiments + Power Analyses + Data Analysis + Interpretation