I am a PhD candidate in the Department of Statistics at the University of California, Irvine, being advised by Padhraic Smyth. I am also an organizer and instructor for the UCI Data Science Initiative. My research interests include machine learning, applied statistics, and Bayesian methodologies with an emphasis on user-behavior modeling. When I'm not working as a data scientist, I enjoy hiking with my Pomeranian, Buzz, and Border Collie mix, Bandit; snowboarding; and sampling craft beers. I'm also an avid sports fan, and anytime the Nebraska Cornhuskers, Minnesota Vikings, or Dallas Mavericks are playing you will probably find me watching. News: I have taken a full-time position at Obsidian Security, and will be working while finishing my PhD.
Chris Galbraith and Padhraic Smyth. Analyzing user-event data using score-based likelihood ratios with marked point processes. Digital Investigation, Volume 22, Supplement, 2017, Pages S106-S114, ISSN 1742-2876.
uci data science initiative workshops
Introduction to Data Analysis with R
Introduction to Programming & Data Analysis with R
uci coursesSTATS 7 - Teacher's Assistant for introductory course in basic statistics (Winter 2017)