My research interest combines computational and experimental approaches for pathogen and cancer research. On the computational side, my group is both developing and applying the latest deep learning technologies to analyze a wide range of biological and biochemical data, including (i) developing Artificial Intelligence (AI)-powered smart microscopic imaging to accelerate disease diagnostic and drug discovery. (ii) enabling deep learning techniques to be applied to omics data, (e.g. modeling of proteins, DNAs, miRNAs, LncRNAs, and mRNAs and their interactions, structures and/or dynamics in molecular, cellular and tissue level), for the discovery of novel diagnostic biomarkers and therapeutic targets. (iii) the use of deep learning in cheminformatics and chemical biology in guiding drug discovery to target those therapeutic targets and fight against disease. On the experimental side, my group combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to mechanistically understand diseases at the molecular level by addressing the fundamental question of how those molecules shape the disease systematically.