Qingyu Chen, PhD

Dr. Qingyu Chen is an incoming tenure-track assistant professor at Biomedical Informatics & Data Science, School of Medicine at Yale. He is setting up his lab in 2024. Dr. Chen has led the major milestone in AI and data science in healthcare from data generation to method development and further to practical applications. His research focuses on Artificial Intelligence and data science for healthcare and biomedicine, including but limited to the following areas:

• Biomedical text mining and information retrieval
• Medical image analytics and multimodal analysis
• AI-assisted healthcare applications
• Biocuration

Hiring

I am setting up my lab and always look for postdoc fellows, PhD students, and interns. Check my work and feel free to reach out at qingyu.chen@yale.edu

• ~40 first-authored papers out of ~70 in total

• Work has been in Nature, Nature Machine Intelligence, Nature Aging, NPJ digital medicine, Nucleic Acids Research, Ophthalmology, Bioinformatics, Journal of the American Medical Informatics Association, and many others

• Main awards include AI Talent Scholar (Top 50 in AI in cross-disciplines) selected by Baidu Scholar, NIH Fellows Award for Research Excellence (two times), NIH Summer Research Mentor Award (four times), NLM Honor Award (two times), Excellence in Teaching Awards (two times), and Top-ranked performance in biomedical and clinical NLP challenges as the first author (three times)

• Taught over 20 courses and mentored over 10 students

• Reviewed ~180 manuscripts and handled ~40 manuscripts as the editor

• Developed one of the first series of biomedical language models including BioWordVec, BioSentVec, BioConceptVec, Multi-task BlueBERT, and Bioformer and AI-assisted healthcare applications including LitCovid, LitSuggest, LitSense, DeepSeeNet, M3-RPD, and DeepLensNet that have been accessed by millions of biomedical researchers and healthcare professionals

For more information, please visit https://sites.google.com/view/qingyuchen/home.