Yufei Huang

Yufei Huang is a Professor in the Department of Medicine at the University of Pittsburgh and the Leader of AI Research at UPMC Hillman Cancer Center. He holds a PhD and MS in Electrical Engineering from Stony Brook University. His work bridges artificial intelligence, bioinformatics, and cancer research, focusing on applications such as drug response prediction, epigenetic regulation, and viral pathogenesis. Huang is affiliated with both the School of Medicine and the School of Computing and Information, reflecting his interdisciplinary research. His contributions span computational tools for healthcare, including R Shiny apps for drug response analysis and machine learning models for unbiased patient representation.

Research interests include AI-driven oncology, molecular mechanisms of cancer progression, and leveraging genomics for precision medicine. He has contributed to studies on lung cancer therapeutics, viral infections (e.g., SARS-CoV-2 and KSHV), and epigenetic modifications like m6A methylation. His lab develops innovative algorithms for single-cell transcriptomics and spatial biology to unravel disease mechanisms.

Notable projects include MetGen, a generative model for metastatic cancer prediction, and m6A-express, which deciphers RNA methylation's role in gene expression. His work on CASTOR1 phosphorylation highlights biomarker discovery in lung adenocarcinoma. Huang's interdisciplinary approach integrates machine learning, virology, and computational biology to address critical challenges in healthcare and cancer research.