معرفی
Dr. Jiyoon Yi is an Assistant Professor in the Department of Biosystems and Agricultural Engineering (BAE) at Michigan State University's College of Engineering. Her research focuses on AI-driven solutions for sustainable food systems, integrating biosystems engineering with data science to address microbiological challenges. She holds a Ph.D. in Food Science from UC Davis (2021), and dual B.S. degrees in Mathematics and Food Science & Engineering from Ewha Womans University (2014).
- Key research areas:
- Rapid pathogen detection via hyperspectral microscopy
- AI analysis of soil microbiome interactions
- Generative AI modeling of microbial stress responses
- Teaching:
- HEAT 401: Heat and Mass Transfer in Biosystems (undergraduate)
- BAE 890: Machine Learning for Biosystems Engineering (graduate)
Her lab employs both wet-lab and dry-lab approaches, with recent work emphasizing domain adaptation in imaging, attention-based AI for microbiome analysis, and computational simulations of microbial behavior. Current studies include developing antimicrobial coatings for food contact surfaces and optimizing sanitizer distribution in agricultural processing systems.
Notable Contributions: Pioneering AI-enabled frameworks for real-time pathogen detection, including label-free cell analysis and adversarial domain adaptation across imaging modalities. Her work bridges gaps between computational methods and practical food safety applications, with applications in both food/health and agriculture domains.
