Research, laboratory, and research-platform projects. Each page sets out the question, my role, methods, and current status.
Graduate research combining experimental and literature-derived data with machine learning and deep learning to investigate and predict food protein gelation and functional behavior.
Molecular-dynamics simulation of casein isoforms in aqueous systems, currently focused on αS1-casein, using GROMACS and the Amsterdam Modeling Suite.
A collaborative molecular-dynamics study of how independent trajectory replication affects uncertainty, reproducibility, and statistical inference in simulations of heat-induced ovalbumin denaturation.
A collaborative, interpretable machine-learning framework for predicting molecular bitterness from multi-source scientific data.
Effects of black soldier fly larvae (BSFL) frass tea and UV light exposure on the growth and nutritional quality of basil microgreens.
Fortified and protein-enriched foods developed and evaluated for nutritional, microbiological, and sensory quality, including a peer-reviewed publication.
Two complementary research platforms for plant-protein functionality: a structured research-data platform and an AI-assisted evidence-extraction platform with human review.
The public website of the Zhao Food Chemistry Lab at SDSU, developed and maintained under Dr. Jing Zhao's guidance.