chris galbraith

PhD Candidate
University of California, Irvine

Room 4059
Donald Bren Hall
Irvine, CA 92617
galbraic [at] uci [dot] edu

ABOUT     CV     CODE    

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.


Quantifying Association Between Discrete Event Time Series JSM Topic Contributed Papers: Statistical Applications in Forensic Evidence Jul 31, 2018
Quantifying the Association Between Discrete Event Time Series (poster) CSAFE Meeting Jun 11, 2018
Quantifying the Association Between Discrete Event Time Series UCI Statistics Department May 25, 2018
Statistical Analysis of User-Event Data in a Digital Forensics Context ICFIS Memorial Invited Session: Remembering Stephen E. Fienberg Sep 6, 2017
Analyzing User-Event Data Using Score-based Likelihood Ratios with Marked Point Processes DFRWS USA Aug 9, 2017
Statistical Analysis of User-Event Data for Digital Forensics [Poster] CSAFE Meeting Jun 8, 2017


uci data science initiative workshops
Introduction to Data Analysis with R

csulb workshops
Introduction to Programming & Data Analysis with R

uci courses
STATS 7 - Teacher's Assistant for introductory course in basic statistics (Winter 2017)