Kevin McLoughlin

Biostatistics Ph.D. Program
B.S. (Physics), California Institute of Technology, 1980
M.S. (Physics), University of California, Santa Cruz, 1986
Email: 
kmclough [at] stat [dot] berkeley [dot] edu
Primary Research Area: 
Applied & Theoretical Statistics
Sub-Focus: 
Bioinformatics/Biostatistics, Machine Learning
Dissertation: 
Modeling and Analysis of Oligonucleotide Microarray Data for Pathogen Detection
Dissertation Advisor: 
Terry Speed

My research concerns methods for identifying microbial constituents of complex samples and assessing their genotypes and abundances, using data from DNA microarrays and next-generation sequencing. I am also developing analysis methods for indirect detection of disease exposure, by profiling host antibodies through their binding to peptide microarrays.

While pursuing my Ph.D. degree at Berkeley, I have been working as a computational biologist and statistician in the Pathogen Bioinformatics Group at Lawrence Livermore National Laboratory (LLNL). Prior to joining LLNL, I led the analysis software development team at Gene Logic, Inc.