14 Predictive Modeling of Tox21 Data
297
Ruili Huang is the informatics group leader on the toxicity profiling team at the NIH National
Center for Advancing Translational Sciences (NCATS). Dr. Huang and her group contribute to
quantitative high-throughput screening (qHTS) data processing and interpretation, and development and implementation of software tools and algorithms that facilitate NCATS’ data pipeline.
As part of the Tox21 program, her group focuses on evaluating qHTS assay performance for prioritization, and analyzing compound toxicity profiling data to generate hypotheses on compound
mechanisms of toxicity and to build predictive models for in vivo toxicity. Dr. Huang received her
Ph.D. in chemistry from Iowa State University, trained as a computational biologist at the National
Cancer Institute, and joined NCATS in 2006.
297
Ruili Huang is the informatics group leader on the toxicity profiling team at the NIH National
Center for Advancing Translational Sciences (NCATS). Dr. Huang and her group contribute to
quantitative high-throughput screening (qHTS) data processing and interpretation, and development and implementation of software tools and algorithms that facilitate NCATS’ data pipeline.
As part of the Tox21 program, her group focuses on evaluating qHTS assay performance for prioritization, and analyzing compound toxicity profiling data to generate hypotheses on compound
mechanisms of toxicity and to build predictive models for in vivo toxicity. Dr. Huang received her
Ph.D. in chemistry from Iowa State University, trained as a computational biologist at the National
Cancer Institute, and joined NCATS in 2006.