Robert L. Sielken, Jr. is a biostatistician and president of Sielken and Associates Consulting, Inc. He received his Ph.D. degree in Probability and Statistics from Florida State University in 1971. His research in dose-response modeling was supported in the 1970's by the Food and Drug Administration, the National Center for Toxicological Research, and the National Institutes of Health. Since serving on the Society of Toxicology ED01 Task Force in 1981 and helping to develop some of the earliest probabilistic risk assessments in the 1980's for Superfund (e.g., the Rocky Mountain Arsenal), Dr. Sielken has published more than 50 papers on cancer, noncancer, and ecological risk assessment (using animal bioassays, human epidemiological studies, and ecological data) and participated in more than 100 workshops, short courses, and conferences on exposure and risk assessment. He also co-authored a book entitled Quantitative Cancer Modeling and Risk Assessment.

In 1985, after 15 years of teaching in the Department of Statistics at Texas A&M University, he exchanged his duties as Professor for those of an Adjunct Professor and formed Sielken, Inc. Dr. Sielken is also an Adjunct Professor in the Department of Carcinogenesis at the University of Texas. In 1996, Sielken, Inc., became a subsidiary of Jellinek, Schwartz & Connolly, Inc., which provides integrated science-based advocacy and management solutions to business and industry. In 2001, Dr. Sielken left his position as Vice President of Jellinek, Schwartz, & Connolly, Inc., and formed Sielken and Associates Consulting, Inc., which does statistical research and consulting primarily in the area of quantitative health risk assessment.

Dr. Sielken serves as a consultant to professional societies, industry, and state and federal governments and provides litigation and advocacy support. A major emphasis in his current research is probabilistic, Monte Carlo, and weight-of-evidence based approaches to quantitative health risk assessment using distributional characterizations of aggregate and cumulative exposure and risk.