Assistant Professor
Bio: Xiaoyang Ruan, Ph.D., is an Assistant Professor at the Center for TEAM-AI. Dr. Ruan possesses a diverse educational background encompassing biopharmacy, genetic epidemiology, and bioinformatics. His professional journey includes valuable experience in both the academic healthcare sector and the pharmaceutical industry. Dr. Ruan's current research focus is real-world data based deep learning architectures for real-time risk modeling, and deep phenotyping based precise medicine. His work on chronic kidney disease endpoint risk modeling led to the first deep learning model capable of individualized dynamic risk modeling across diverse prediction horizons. His contributions to real-time post-surgical complication risk modeling and precision medicine in obesity deep phenotyping demonstrate high clinical implementability. Dr. Ruan believes in the power of teamwork that brings safe and reliable AI to benefit the healthcare field in the digital era.