Yixin Chen

Yixin Chen is a Professor at Washington University in St. Louis, specializing in artificial intelligence, machine learning, and computational biomedicine. He joined the faculty in 2005 and has received prestigious awards such as the IEEE Fellow distinction and the DOE Early Career Award. His work bridges AI with healthcare, biotechnology, and interdisciplinary challenges like climate technology.

• Education:
  • PhD, University of Illinois, 2005
  • MSc, University of Illinois, 2001
  • BSc, University of Science and Technology of China, 1999

Research focuses on human-AI collaboration, deep learning, and multi-omics data integration. Notable projects include AI-driven tools for synthetic biology, CO2 capture, and medical imaging improvements (e.g., NICUPose for neonatal care). He also leads clinical trials evaluating AI in surgery risk prediction (e.g., Perioperative ORACLE Trial).

Awards include the St. Louis Innovator Award (2025), AAAS Fellowship (2025), and a $5M DOE grant for green fertilizer research. He serves as a NSF panelist and NSF reviewer, emphasizing interdisciplinary impact.

Grants & Labs: Active in federal funding, including NSF and DOE projects. Lab work spans AI for healthcare, biotechnology, and environmental science, with collaborations in telemedicine and precision medicine.