Jiyoon Yi

Biography

Dr. Jiyoon Yi's research program focuses on developing an AI-enabled framework that forecasts microbiological variations to better manage sustainable food systems. Her team of biosystems engineers and data scientist, combining both wet lab and dry lab approaches, is currently working on three main areas:

1. Rapid pathogen detection by integrating high-quality BSL-2 hyperspectral microscopy data ... with computer vision techniques for domain adaptation across imaging modalities (food/health);

2. Contextual analysis of the soil microbiome analysis using advanced AI/ML techniques (e.g., attention-based) to impute missing field data and uncover community interactions across variable data quality (food/agriculture); and

3. Developing generative AI techniques to simulate microbial stress responses and community interactions (computational).

She teaches Heat and Mass Transfer in Biosystems (core undergraduate course) and Machine Learning for Biosystems Engineering (grad course).