Susan McRitchie, MA/MS is an invited speaker for a National Academy of Sciences Workshop to be held on October 10-11, 2023. She will be speaking on The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics Related to Food and Nutrition Research.
Susan has conducted biostatistics in the field of metabolomics for over 10 years and has over 15 years of experience in biostatistics in clinical and epidemiology investigations. Using a variety of statistical and modelling techniques, she is a-author of over 50 peer-reviewed publications and book chapters that span obesity, physical activity, addiction, infection, liver and kidney disease, pregnancy complications, eye disease, and birth outcomes. An example of her exemplary research regards a 2008 publication where Susan used quadratic growth curves to model the decline in physical activity between ages 9 and 15, which was published in the Journal of the American Medical Association (JAMA), and has been cited over 1,600 times (Nader et al., 2008).
Susan is currently the lead biostatistician and program manager for the NIH Common Fund Metabolomics and Clinical Assay Center (PI, Susan Sumner) for the Nutrition for Precision Health study, for the NIEHS Human Health Exposure Analysis Resource program (MPI, Sumner/Du/Fennell), and for the Metabolomics and Exposome Laboratory at the UNC Chapel Hill Nutrition Research Institute (Director, Sumner). She has trained over 20 students, postdoctoral fellows, early career and senior faculty to conduct statistical and multivariate analysis in metabolomics investigations.
Susan earned a BA degree in mathematics with minors in physics and geology from California State University at San Jose, a MA degree in mathematics from University of California, Los Angeles, and a MS degree in biostatistics from UNC Chapel Hill.