Department of Preventive Medicine and Community Health
Sealy Center for Molecular Medicine
UTMB Bioinformatics Program
B.S., Trinity University, 1996 (Math)
M. S., Rice University, 2002 (Statistics)
Ph.D., Rice University, 2003 (Statistics)
Post-doctoral, UTMB Bioinformatics
My current research focuses on developing innovative and sophisticated mathematical and statistical methods important for the creation of high quality classifiers and biomarker panels. Using the tools of mathematical modeling, classification algorithms, and machine learning, I can create classifiers to accurately predict disease outcome, discover the best treatment options for disease, or to examine disease prognosis. The methods of classification and machine learning allow for multiple types of input, which make it extremely well suited for use in a clinical/translational setting. Once the classifier has been created, researchers can use it to predict the outcome or best treatment options for future patients. I am also actively involved in developing methods to combine various types of data as well as optimizing the kernel functions which are at the heart of the machine learning algorithms.