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Kylie double majored in Biology and Chemistry at the
University of Missouri – Kansas City, and spent the following 5 years
researching and developing veterinary vaccines for Boehringer Ingelheim
Vetmedica and Virgina Tech University. With the desire to learn more about data
analysis, Kylie returned to graduate school at the University of Colorado –
Denver and completed her MS in Biostatistics. In the Saba lab, she spends her
time working with high-throughput omics datasets; this work includes the
integration and interpretation of RNA-Seq and microarray data, and the
development and exploration of new techniques for increasing the
interpretability of omics data.
Ryan graduated from the University of Minnesota – Duluth
with a BS in Biochemistry and Molecular Biology. As an undergraduate, his
research included supercritical fluid chromatography method development,
biophysical characterization of intrinsically disordered proteins, and the
development of techniques to examine light fluxes in lotic systems. Ryan
entered the Pharmaceutical Sciences PhD program at the University of Colorado –
Denver in 2015. In graduate school, Ryan discovered a passion for
biostatistics, and his dissertation work seeks to combine this with his
knowledge of living systems to interpret large, clinically relevant data sets
in order to help answer today’s complex biomedical sciences questions.
Harry earned his Bachelor’s of Science in biology from the
University of Colorado in Colorado Springs, and is currently pursing his
Master’s of Public Health from the Colorado School of Public Health on the
Anshutz Medical Campus. His Master’s concentration is Applied Biostatistics and
BioInformatics. His research interests include genetic association studies
using systems genetics, as well as machine learning in the context of health
and health outcomes data. Recently, he joined the Saba lab in the Skaggs School
of Pharmacy and Pharmaceutical Sciences first as an intern followed by being
hired as a student employee. He is investigating the genetic influences on
metabolic activities in brown adipose tissue (BAT) by gene co-expression
networks associated with interesting metabolic phenotypes.
Lauren earned her bachelor’s degree in chemistry and
mathematics from CU Boulder and MS in biostatistics from UC Denver. Previous to working at the School of
Pharmacy, Lauren was a professional research assistant at the School of
Medicine’s Proteomics Core and specialized in mass spectrometry. Her current research interests include
applying statistical approaches to integrate a variety of high-throughput data
and physiological trait data. Statistically determining both genetic and
environmental underpinning of disease is the ultimate goal of her research.
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