Institut Pasteur de Bangui
Keith Shockley, Ph.D., conducts research at the interface of environmental science and data science. He also serves as a bioinformatician for the National Toxicology Program (NTP) and an adjunct member of the Biomolecular Screening Branch. His central goal is to develop and apply computational approaches to analyze high dimensional data sets generated from quantitative high throughput screening (qHTS), functional genomics and other complex biological systems used to study environmental health. Shockley’s methodological research focuses on the construction of novel ways to detect actives and minimize false negatives in toxicity testing and environmental genomics. A major aim of this work is to build computational frameworks to determine the toxicological relevance of a chemical in qHTS experiments that take into account different variance structures that often accompany such data. In addition, he pursues suitable statistical methods to resolve differences arising from multifactorial study designs used in toxicogenomics investigations.
Biostatistics & Computational Biology
Shockley KR. Estimating potency in high-throughput screening experiments by maximizing the rate of change in weighted Shannon entropy. Scientific Reports 2016 6:27897