Simulation models

Develop and validate simulation models for (i) packing houses, (ii) processing plants and (iii) retailers to facilitate use of in silico tools to optimize pathogen sampling plans and control strategies.

The goal is to develop agent-based model (ABM) of Listeria transmission in packing houses and produce processing plant and use the model outputs to design, implement, and evaluate improved control strategies in selected facilities. These will be valuable tools for the industry to justify sampling plans and corrective action responses to Listeria detection. 

Examples of previous work that illustrates these approaches  and their value include:

Zoellner, C., R. Jennings, M. Wiedmann, and R. Ivanek. 2019. EnABLe: An agent-based model to understand Listeria dynamics in food processing facilities. Sci Rep. 9(1):495. doi: 10.1038/s41598-018-36654-z. 

Contact

a smiling man in a blue shirt and glasses stands in front of a project board

Gellert Family Professor in Food Safety, Food Science.

Dr. Wiedmann's research focuses on the pathogenesis of foodborne diseases, pre- and post-harvest food safety and on improving our understanding of the evolution and ecology of foodborne bacterial pathogens and their transmission from farm animals and environments through foods to humans. Both basic and applied research in the laboratory is targeted towards developing the scientific knowledge necessary to improve the ability to prevent foodborne and zoonotic diseases.

Email: mw16@cornell.edu