Published several papers, including 'A Systematic Literature Review of Undergraduate Data Science Education Research', 'Reproducibility in the Classroom', and 'The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers'. Some of her work has been supported by the National Science Foundation and the National Institutes of Health.
Research Experience
Extensive experience in undergraduate education and collaboration on projects involving community colleges and K-12 curricula. Recent work in data science education includes accessibility, assessing reasoning, instructor knowledge and training, and inferential thinking from a Bayesian lens across STEM disciplines.
Education
Associate Professor of Teaching, Department of Statistics, Donald Bren School of Information and Computer Sciences, University of California, Irvine.
Background
An educator with an interest in statistics and data science education, and an applied statistician with experience in educational research. Her educational work is in statistics and data science, and her statistics and data science work is in education. Her broader goal is to create accessible, inclusive, and relevant statistics and data science classrooms and curricula across all sciences.
Miscellany
She also participates in the Statistics and Data Science Education Research Group meetings and welcomes students to contact her via email to attend these meetings.