Until recently, Rich Simon was Director of the Biometric Research Program and Chief of the Computational & Systems Biology Branch at the National Cancer Institute. He retired from the NCI in July 2017. To view his cv click here. He holds a doctoral degree in Applied Mathematics & Computer Science from Washington University in St. Louis Mo. He has developed many of the statistical methods used in cancer clinical trials including Bayesian, adaptive and biomarker driven clinical trial designs. Dr. Simon is a leader in the development and use of predictive biomarkers in therapeutic research.
In 1998 Dr. Simon established a multidisciplinary group of statistical, computational and biological scientists to develop and apply methods for the application of high-dimensional genomic data to cancer research. In two years of preparation for this transition Dr. Simon took many courses in cancer biology and biotechnology, including one day per week in the laboratory. The group that Dr. Simon created expanded over the years and became the Computational & Systems Biology Branch. Dr. Simon has received laboratory training in genomics and cell biology at NIH and Cold Spring Harbor Laboratory. Dr, Simon has published many papers on the analysis of genomic data and has trained many postdoctoral fellows in computational and statistical cancer genomics.
He holds a doctoral degree in Applied Mathematics & Computer Science from Washington University in St. Louis Mo. He has developed many of the statistical methods used in cancer clinical trials including Bayesian, adaptive and biomarker driven clinical trial designs. Dr. Simon is a leader in the development and use of predictive biomarkers in therapeutic research.
In 1998 Dr. Simon established a multidisciplinary group of statistical, computational and biological scientists to develop and apply methods for the application of high-dimensional genomic data to cancer research. In two years of preparation for this transition Dr. Simon took many courses in cancer biology and biotechnology, including one day per week in the laboratory. The group that Dr. Simon created expanded over the years and became the Computational & Systems Biology Branch. Dr. Simon has received laboratory training in genomics and cell biology at NIH and Cold Spring Harbor Laboratory. Dr, Simon has published many papers on the analysis of genomic data and has trained many postdoctoral fellows in computational and statistical cancer genomics.
Dr. Simon is the architect of software that empowers biologists and pharmacologists to analyze and interpret genome-wide data including BRB-ArrayTools which has over 15 thousand registered users in 65 countries and has been cited in over 3000 publications. He also has designed BRB-SeqTools for the processing and analysis of next-gen sequencing data and the Translational Pharmacology Workbench.
Dr. Simon has published over 400 peer reviewed articles and over 300 invited talks He is an elected fellow of the American Statistical Association and a former member of the FDA Oncologic Drug Advisory Committee. He received the 2013 Karl Peace Award from the American Statistical Association for “outstanding statistical contributions for the benefit of society”. He is also the recipient of the 2017 Marvin Zelen Award in Statistical Science Leadership of the Chan School of Public Health at Harvard University.