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.
TALKSTEACHINGuci data science initiative workshops
Introduction to Data Analysis with R
csulb workshops
Introduction to Programming & Data Analysis with R
uci coursesSTATS 7 - Teacher's Assistant for introductory course in basic statistics (Winter 2017) |