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Leila M. Barraj, D.Sc.

Senior Managing Scientist

Chemical Regulation & Food Safety

Professional Profile


Dr. Leila M. Barraj is a biostatistician with experience in experimental study and survey design, data analysis, and exposure modeling. She has worked on a wide range of issues, including occupational and nutritional relative risk assessments, probabilistic exposure assessment, dietary exposure assessment, and microbial risk assessments. In particular, she has designed consumer behavior surveys to collect information on water and food consumption patterns. She has also designed several national market basket surveys to generate data on the prevalence and levels of contamination in foods and on characteristics of consumer products. She has also designed specialized field trials and monitoring programs to identify factors and agricultural practices affecting contamination levels in food commodities. Dr. Barraj has analyzed data from nationwide health and food consumption surveys to investigate the association between dietary patterns and health. She has applied multivariate statistical methods to estimate the relative contribution of various factors, including diet to heart health. She has analyzed longitudinal health and exposure data collected by an occupational exposure study to investigate the potential association between chemical exposure and reproductive health. She has analyzed data from several consumer product surveys designed to collect information o long-term use patterns of cosmetic products. Dr. Barraj also has extensive modeling experience. She has been involved in developing the models and algorithms used in several of Exponent/Novigen’s proprietary risk assessment software. These software include the Dietary Exposure Evaluation Model (DEEMTM), the Food Analysis and Residue Evaluation Program (FARETM), and CalendexTM, an aggregate and cumulative exposure software incorporating both temporal and spatial variability. Government agencies rely on these software in their assessments. She has also developed probabilistic microbial exposure and risk assessment models, and has been involved in the review of microbial risk assessment models developed by FDA and FSIS.

  • D.Sc., Biostatistics, Harvard University, 1987
  • M.S., Statistics, American University of Beirut, Lebanon, 1979
  • B.S., Statistics, American University of Beirut, Lebanon, 1974

  • French
  • Arabic