christopher galbraith

Doctor of Philosophy (PhD)
Statistics
University of California, Irvine

galbraic [at] uci [dot] edu


ABOUT     RESUME     CODE     LINKEDIN    

I recently completed my PhD from the Department of Statistics at the University of California, Irvine, under the supervision of Padhraic Smyth. During my time at UCI, I was an organizer and instructor for the UCI Data Science Initiative. I was also heavily involved in the Center for Statistics and Applications in Forensic Evidence. My research interests include machine learning and applied statistics with an emphasis on user-behavior modeling and anomaly detection.

I am currently working as a Machine Learning Researcher at Obsidian Security. Previously, I've done research internships at Cylance and Obsidian Security. My undergraduate studies were in Mathematics at South Dakota State University.

News: My work was recently featured in the October 2020 issue of Significance magazine! Check out the article here (second page).




PUBLICATIONS


Christopher Galbraith. Statistical methods for the forensic analysis of user-event data. PhD Thesis, UC Irvine, 2020.

Christopher Galbraith, Padhraic Smyth, and Hal S. Stern. Statistical methods for the forensic analysis of geolocated event data. Digital Investigation, Volume 33, Supplement, 2020, 301009.

Christopher Galbraith, Padhraic Smyth, and Hal S. Stern. Quantifying the association between discrete event time series with applications to digital forensics. Journal of the Royal Statistical Society: Series A, Volume 183, Issue 3, 2020, pages 1005-1027.

Christopher 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.



TALKS


Statistical Methods for the Forensic Analysis of Geolocated Event Data DFRWS USA Jul 22, 2020
Statistical Methods for the Forensic Analysis of User-Event Data UCI Dissertation Defense May 28, 2020
Spatial DNA: Measuring Similarity of Geolocation Data Sets [Poster] JSM Statistical Computing: Methods, Implementation, and Application Session Jul 31, 2019
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)