Jiawei Dai

Jiawei Dai is a Research Fellow in the Department of Medical Oncology and Hematology at the Yale School of Medicine, Yale University. Their research focuses on cancer biology, immunotherapy, and genomic analysis, with a particular emphasis on lung cancer and breast cancer subtypes. Dr. Dai's work integrates computational approaches and artificial intelligence to predict therapeutic outcomes and driver genes in preclinical models.

Key research interests include understanding immune-related adverse events in clinical trials, genomic alterations in precancerous tissues, and drug resistance mechanisms in tumor microenvironments. Their studies have explored synergistic effects of therapies targeting lipid metabolism in cancer, molecular profiling of breast cancer subtypes, and machine learning applications in oncology.

Publications highlight contributions to lung cancer mutational profiling, DNA damage response pathways, and the prognostic value of gene expression patterns. Collaborative work bridges basic science and clinical translation, aiming to improve patient outcomes through personalized medicine strategies.