International Food Risk Analysis Consortium

International Food Risk Analysis ConsortiumInternational Food Risk Analysis ConsortiumInternational Food Risk Analysis Consortium
Scope
About IFoRAC
Risk Assessments
Capacity Building
Workshops
Innovation
Greg
Laurent
William
Moez
QMRA Workshop program

International Food Risk Analysis Consortium

International Food Risk Analysis ConsortiumInternational Food Risk Analysis ConsortiumInternational Food Risk Analysis Consortium
Scope
About IFoRAC
Risk Assessments
Capacity Building
Workshops
Innovation
Greg
Laurent
William
Moez
QMRA Workshop program
More
  • Scope
  • About IFoRAC
  • Risk Assessments
  • Capacity Building
  • Workshops
  • Innovation
  • Greg
  • Laurent
  • William
  • Moez
  • QMRA Workshop program

  • Scope
  • About IFoRAC
  • Risk Assessments
  • Capacity Building
  • Workshops
  • Innovation
  • Greg
  • Laurent
  • William
  • Moez
  • QMRA Workshop program

Laurent Guillier

Man with short curly hair wearing a dark sweater over a collared shirt.

Laurent Guillier is an applied scientist in the Risk Assessment Department at ANSES (the French Agency for Food, Environmental and Occupational Health & Safety). His research focuses on foodborne pathogens and quantitative microbial risk assessment (QMRA), with the aim of improving the understanding of factors that contribute to foodborne diseases and identifying effective strategies to reduce their associated public health burden.

His work integrates microbial genomics and other omics data into QMRA by combining mathematical and statistical modelling with approaches from predictive microbiology, source attribution, and dose–response assessment. He also draws on conventional food microbiology and epidemiology to support hazard characterization and to assess how food processing methods and storage conditions influence microbial risks in food.


At the QMRA workshop, Laurent will present advances in modeling approaches and the integration of genomic data into microbial risk assessment, illustrating how these methods can strengthen evidence-based decision-making in food safety.

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