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.

PUBLICATIONS

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.

TALKS

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

TEACHING

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)

chris galbraith