Heidi Spratt, PhD

Associate Professor

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Mailing address:
301 University Blvd, Galveston, Texas United States
Physical address:
Ewing Hall, 1.134J, Galveston, Texas United States
Heidi Spratt, PhD

Affiliations: Department of Preventive Medicine and Community Health Sealy Center for Molecular Medicine UTMB Bioinformatics Program

Education:

B.S., Trinity University, 1996 (Math)
M. S., Rice University, 2002 (Statistics)
Ph.D., Rice University, 2003 (Statistics)
Post-doctoral, UTMB Bioinformatics

Academic Activities:

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.

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