Dr. Huang is a researcher specializing in the interdisciplinary frontier of Integrative Medicine, Multi-omics, and Artificial Intelligence. His work leverages advanced computational methods to drive the modernization of Traditional Chinese Medicine (TCM) and bridge the gap between Eastern and Western medicine. Specifically, his research centers on data analysis and algorithm development within the fields of metabolomics and lipidomics, with an active engagement in computational mass spectrometry analysis and the methodological frameworks for multi-omics data integration. By integrating cutting-edge machine learning and deep learning algorithms, he aims to accelerate biomarker discovery, decode complex metabolic networks, and provide data-driven insights into disease mechanisms and therapeutic interventions.