Matthew Stasiewicz Ph.D.

Matthew Stasiewicz, Ph.D., is an Associate Professor of Applied Food Safety in the Department of Food Science and Human Nutrition at the University of Illinois at Urbana-Champaign. His work focuses on applying engineering and data analytic approaches to advance food safety microbiology. He earned a B.S. degree in Biosystems Engineering and a B.A. degree in Philosophy from Michigan State University. He also studied at Cornell, receiving an M.S. degree and Ph.D. in food microbiology, while working on risk analysis in microbial food safety. His research interests include the identification and management of persistent Listeria monocytogenes in food environments using modern DNA sequencing and improved data analysis techniques. His lab also works with international teams to develop appropriate technology to manage mycotoxins in corn, with his contribution being single-kernel identification and sorting using relatively simple hardware. The lab uses simulation and risk assessment to improve sampling and testing for foodborne pathogens in large-scale food production environments.

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ARTICLES

sampling strategies

Simulation of Sampling Strategies for Food Safety: A New Tool for Improved Sampling Performance

One solution to sampling problems is to maximize the power of sampling plans to detect target hazards at explicitly defined risk levels
Ruben A. Chavez Ph.D., Matthew Stasiewicz Ph.D.

Food safety sampling and testing strategies must seek ways to adapt food safety plans that reflect the reality of contamination to improve hazard detection and ultimately help ensure that food is safe for consumers. One solution is to maximize the power of sampling plans to detect target hazards present at explicitly defined risk levels—prevalence, level, and/or distribution. This would allow food safety professionals to better manage risk in their specific system.


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