Modeling Biological Mechanisms
A major focus of our lab is understanding how biological systems work, not just predicting outcomes.
We study cell-to-cell communication, especially how molecules like microRNAs regulate gene expression and move between cells. Students work on modeling regulatory networks and exploring how biological signals propagate in disease.
Biomarker Discovery with AI
We develop AI tools to identify circulating and non-invasive biomarkers, such as secreted proteins and microRNAs. Students learn how to combine biological knowledge with data-driven methods to prioritize candidates for experimental and translational studies.
Nutrition, Metabolism, and Health Modeling
We study how diet influences metabolism and health over time. Our projects include modeling metabolic flux in the liver and analyzing diet-induced changes across organs, individual cells, and the gut microbiome. Students interested in nutrition, metabolism, or systems biology will find many opportunities here.
Longitudinal Health & Decision Support
Health is dynamic, so we build models that track changes over time rather than single measurements. Students work on projects related to monitoring, prediction, and decision-support systems, always keeping humans in the loop.