Quantitative Life Sciences Initiative data science unlocks opportunities
We are a university-wide, faculty-driven program to conduct research and create educational resources, expertise, and opportunities in data sciences for application in the life sciences. We work in multiple STEM disciplines — mathematics, statistics, computer science and engineering, bioinformatics, biological systems engineering, electrical engineering – to establish cross-campus linkages. These linkages enable transdisciplinary research, training and consulting with partners in the life sciences from academia, industry, and government.
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Our interdisciplinary staff consists of experts in the fields of mathematics, statistics, computer science and engineering, bioinformatics, biological systems engineering and electrical engineering. Get to know us better.
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Predictive Statistics Textbook
Bertrand S. Clarke & Jennifer L. Clarke
All scientific disciplines prize predictive success. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach.
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