Amelia McNamara

Photo courtesy Jeff Weakley

Amelia McNamara

Statistics Ph.D. candidate at the University of California-Los Angeles.

My work is focused on creating better tools for novices to use for data analysis. I am developing a theory about what the future of statistical programming should look like, and trying to determine the next steps on the way to those tools.

For my dissertation, I am advised by Mark Hansen, and I work with with the Communications Design Group (CDG), directed by Alan Kay (another member of my dissertation committee). A full list of my committee members and working abstract of my dissertation is available here. Towards my vision of statistical programming, I am working with Aran Lunzer at CDG to create an integration between R and Lively Web.

My research interests include statistics education, statistical computing, data visualization, and spatial statistics.

Over the years, my educational career has included elements typically associated with the right brain (design foundations, college English major) as well as the left brain (math was my other undergraduate major, and I am completing my PhD in statistics with a focus on computation).

However, I dislike the tendency to pigeonhole projects and people by the dichotomy of the right and left brain. Instead, I prefer to focus on projects that use a more holistic approach. In both my research and my teaching, I try to balance quantitative rigor with excellent communication.


For a more detailed look at my recent work, see my writings, presentations, or look at some of my other recent projects. Or, look at my dissertation committee members and dissertation abstract, and read my theory about the future of statistical programming.


For three years, I was a graduate student researcher on the Mobilize project, which brings data science to high school students in the LA area, through participatory sensing and computational analysis in R and RStudio. My work with Mobilize is discussed here, and has been a source of inspiration for my ongoing research into computational tools for novices.

As a Teaching Fellow (TA), I taught discussion sections for three upper-division statistics classes at UCLA in the 2013-2014 school year (101a, 102b and 101c).

Finally, I am currently developing a data visualization course, which I will be teaching as the instructor of record at UCLA in Spring 2015. I was given the opportunity to develop this course as part of the Collegium of University Teaching Fellows program at UCLA.

Curriculum vitae

My CV is available here, and if you're curious about how I TeXed it up, view the code.


Contact me

I can often be found in my office, 8208 Math Sciences. Or, reach out to me electronically. Twitter LinkedIn Facebook Google+ GitHub