T: +1 318 398 2091
Cynthia Van Landingham has more than 25 years’ experience in the areas of statistical analysis, dose-response modeling, biologically based pharmacokinetic modeling, Monte Carlo techniques, numerical analysis methods, database creation and management, data mining and conversion and user-friendly interfaces for customized software or existing applications. She has performed statistical analysis of data from clinical trials, animal bioassays and epidemiology studies, and has conducted various types of site and human health risk assessments. She used Monte Carlo techniques to explore the uncertainties associated with exposure assessments from various sources, including intake through food and water consumption, over-the-counter drugs, dermal application of personal care products and intake by children of lead-containing soil, dust or other lead-containing products. These analyses have included the development of the distributions for the exposure patterns (e.g., amount consumed, frequency of consumption and duration of use) and chemical concentrations in the products. Cynthia has extensive experience in developing relational databases used for the collection and analysis of quantitative information, including the development of data-entry forms, the use of selection sets to ensure consistency of data and the creation of context-sensitive help so that the database can be shared by multiple users with little additional instruction.