Hu Li, Ph.D. and his research team are dedicated to uncovering how genes interact to shape complex diseases. By combining systems biology with artificial intelligence (AI), Dr. Li's group develops innovative computational approaches that reveal the hidden networks and mechanisms driving human health and disease.

The lab's research spans AI, systems biology, systems pharmacology, and individualized systems medicine. Their central mission is to transform Big Data into meaningful biological insights advancing the frontiers of disease diagnosis, drug discovery, and precision medicine. Guided by novel systems biology principles, the team's computational platforms open new windows into understanding disease origins, drug actions, and treatment design from an integrated, systems-level perspective.

Over the years, Dr. Li's group has introduced a series of groundbreaking concepts and tools, including NetDecoder, Personalized Mutation Evaluator (PERMUTOR), Regulostat Inferelator (RSI), Machine Learning Assisted Network Inference (MALANI), Gene Utility Model (GUM), Phenotype Mapping (P-Map), Weight Engineering Artificial Neural Network Encoder (ANNE), Manifold Medicine, Manifold Epigenetics, Multi-Scale Locked State Models (LoSM), Spatially Informed Artificial Intelligence (SPIN-AI), and the newly patented Hypothesis-Driven Artificial Intelligence (HD-AI). Each of these powerful innovations offers new ways to explore disease mechanisms and accelerate biomedical discovery across diverse disease areas.