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.

Achievements for bean counters

• ~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

Experience

• Incoming tenure-track assistant professor, Biomedical Informatics & Data Science, Yale School of Medicine, Yale University, 2023-

• Research fellow, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 2018-2023

  • Mentor: Dr Zhiyong Lu

  • Main awards:  

    • AI Talent Scholar (Top 50 in AI in cross-disciplines) selected by Baidu Scholar, 2022

    • NIH Fellows Award for Research Excellence (two times), 2021 and 2023 

    • NIH Summer Research Mentor Award (four times), 2020-2023

    • National Library of Medicine Honor Award, 2019

    • Top-ranked performance in National Natural Language Processing Clinical Challenges (N2C2) on clinical semantic textual similarities as the first author, 2019

    • Top-ranked performance in BioCreative Challenges on clinical semantic textual similarities as the first author, 2018

  • Grants:

    • Principle investigator, K99 LM014024-01, multimodal computer-assisted disease diagnosis

• PhD in Computer Science (Biomedical Informatics), School of Computing and Information Systems, the University of Melbourne, 2014-2018

  • Mentors: Redmond Barry Distinguished Prof Justin Zobel and Prof Karin Verspoor

  • Main awards:

    • The recipient of the Microsoft Master Innovator Award

    • Top-ranked performance in 2017 BioCreative on protein interaction extractions as the first author

    • Excellence in Teaching Awards, 2016 and 2018

• Honors degree in Computer Science, School of Science, RMIT University, 2013

  • Mentors: Prof Lin Padgham and Dr Dhirendra Singh

  • First-class honors; GPA ranked #1 in the degree

• Bachelor of Computer Science, School of Science, RMIT University, 2010-2012

  • GPA ranked #1 in the degree