The Poultry Podcast Show Dr. Hannes Pouseele: Data Science & Food Safety | Ep. 127
Feb 4, 2025
Dr. Hannes Pouseele, a global solutions architect at bioMérieux with a PhD in Algebraic Topology, shares cutting-edge strategies for enhancing food safety in poultry. He discusses how bioinformatics and data science tackle microbiological risks and improve decision-making through timely data. Dr. Pouseele explains the concept of digital twins and their role in managing contamination risks during production. Listeners will learn about innovative tools that optimize poultry health and safety, revolutionizing industry practices.
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Data Timing Challenge
- Microbiology data is often delayed, making it irrelevant for timely decisions.
- Use a risk-based approach to predict the current factory state based on past data.
Lot Independence
- Lot independence is loosely defined but implies a microbial link between lots.
- Assess if measurements from one lot predict another's state to define independence.
Improving Lot Management
- Analyze existing sample data to see if bacterial loads correlate with time between samples.
- This helps evaluate process quality and identify if lot independence exists.