Qingyu Chen, PhD

Qingyu Chen's research focuses on artificial intelligence and data science for healthcare and biomedicine, including but not limited to biomedical text mining and information retrieval, medical image analytics and multimodal analysis, AI-assisted healthcare applications, and biocuration. Chen led major milestones in AI and data science in healthcare, from data generation to method development and further to practical applications.

deep learning ;  informatics ;  neural networks  

algorithms ;  artificial intelligence ;  computer vision ;  machine learning ;  natural language processing ;  predictive modeling  

Qingyu Chen completed postdoctoral training in Biomedical Informatics at the National Library of Medicine, National Institutes of Health. Before that, he obtained a PhD in Computer Science (Biomedical Informatics) from the University of Melbourne, Australia. In 2024, Chen joined the Yale School of Medicine as an assistant professor in Biomedical Informatics and Data Science. Interestingly, his best friend is statistically identified as Reviewer #2. He is fueled by coffee and finds solace in running.