I am Associate Professor of Teaching and Vice Chair for Undergraduate Studies in the Department of Statistics at University of California Irvine. I am an educator with an interest in statistics and data science education and I am an applied statistician with experience in educational research. In short, my educational work is in statistics and data science and my statistics and data science work is in education.

My broader goal is to create statistics and data science classrooms and curricula that are accessible and inclusive and relevant across all sciences. I try to work towards this goal at my institution, at a national level, and at an international level with my collaborators. Even though primary focus of my work has been on undergraduate education at four-year institutions, I collaborate on projects involving community college and K-12 curricula. Some of my latest work in data science education has been on accessibility, assessing reasoning, instructor knowledge and training, and inferential thinking from a Bayesian lens across STEM disciplines. I am the coauthor of the book Bayes Rules! An Introduction to Applied Bayesian Modeling.

I am the lead PI on the NSF-funded project Advancing Bayesian Thinking in STEM, a co-PI on the NSF-funded SoCal Data Science project, and one of the PIs on the NIH funded project Irvine Summer Institute in Biostatistics and Undergraduate Data Science. I teach a variety of statistics, computing, and data science classes at the undergraduate and graduate levels. I write blog posts about data, pedagogy, and data pedagogy at DataPedagogy.com. The blog posts contain resources both for instructors and students.

I currently serve on the ASA/NCTM Joint Committee on K-12 Education in Statistics and Probability and Section on Bayesian Education Research and Practice (BERaP) of International Society for Bayesian Analysis (ISBA).

Outside of work, you might see me in a museum or an art gallery chasing cats.

This is how my name is pronounced: Mi - neh Doe - uu- joo. In the audio file below, I pronounce my name.