Xiao Hui Tai

I am a Ph.D. student in the Department of Statistics and Data Science at Carnegie Mellon University. My research develops methods for comparing unstructured data, applied to forensics and cybercrime.

I am originally from Singapore and was previously a government statistician at the Department of Statistics, which is part of the Ministry of Trade and Industry.


My thesis is on Forensic Data Matching Problems, advised by Bill Eddy. Briefly, I draw a link between matching problems in forensics, and record linkage in statistics and computer science. I then tackle two problems in detail: predicting if pairs of cartridge cases are fired from the same gun, and matching seller accounts on anonymous marketplaces.

My proposal document is here, and slides are here.


Xiao Hui Tai. Record Linkage and Matching Problems in Forensics. IEEE 18th International Conference on Data Mining Workshops (ICDMW), to appear, 2018. [Code]

Xiao Hui Tai and William F. Eddy. A Fully Automatic Method for Comparing Cartridge Case Images. Journal of Forensic Sciences, 2018. [Code]

Working papers

Behtash Banihashemi, Kyle Soska, Xiao Hui Tai and Nicolas Christin. Towards Understanding Marketplace Reputation via Social Network Channels.

Robin Mejia, Xiao Hui Tai, Jay Kadane, Anjali Mazumder, and Bill Eddy. US Forensic Databases: Data, organization, and uses in the fields of ballistics, fingerprints, and DNA.


Xiao Hui Tai
Ph.D. Student
Department of Statistics
Carnegie Mellon University
FMS 323
Pittsburgh, PA

Last updated: 2018-09-25.