S. Stanley Young

S. Stanley Young

Dr. S. Stanley Young graduated from North Carolina State University, BS, MES and a Ph.D. in Statistics and Genetics. He worked in the pharmaceutical industry on all phases of pre-clinical research, first at Eli Lilly and then at GlaxoSmithKline. He has authored or co-authored over 50 papers including six “best paper” awards, and a highly cited book, Resampling-Based Multiple Testing. He has two issued patents. He is interested in all aspects of applied statistics, with special interest in chemical and biological informatics. He conducts research in the area of data mining.

Dr. Young is a Fellow of the American Statistical Association and the American Association for the Advancement of Science. He is an adjunct professor of statistics at North Carolina State University, the University of Waterloo and the University of British Columbia where he co-directs thesis work.



NISS Research Projects

Technical Reports

  • Statistical Design of Pools Using Optimal Coverage and Minimal Collision (2003) -
  • Secure, Privacy-Preserving Analysis of Distributed Databases (2005) -
  • Secure Analysis of Distributed Chemical Databases without Data Integration (2005) -
  • Robust Singular Value Decomposition Analysis of Microarray Data (2002) -
  • Robust Singular Value Decomposition (2001) -
  • Classification of Partially Observed Data with Association Trees (2006) -
  • A Tale of Two Matrix Factorizations (2013) -
  • A Sequential Approach for Identifying Lead Components in Large Chemical Databases (2000) -