Qingyu Chen
About Qingyu Chen
Qingyu Chen is an Incoming Principal Investigator at Yale University, specializing in biomedical natural language processing and medical image analysis. With extensive experience in teaching and research at institutions such as RMIT University and the University of Melbourne, Chen is currently establishing a research team at Yale School of Medicine.
Work at Yale University
Qingyu Chen is currently serving as an Incoming Principal Investigator at Yale University, a position he has held since 2023. In this role, he is in the process of establishing a research team within the Yale School of Medicine. His focus is on advancing research in biomedical natural language processing and medical image analysis, leveraging his expertise in artificial intelligence and data science.
Previous Experience at RMIT University
Prior to his current role, Qingyu Chen worked at RMIT University in Melbourne, Australia, from 2011 to 2017. During this six-year period, he held various positions including Head Teaching Assistant, Teaching Assistant, and Demonstrator. His responsibilities included supporting the educational needs of students and contributing to the academic environment within the university.
Research Role at University of Melbourne
Qingyu Chen was a Research Assistant at the University of Melbourne from 2017 to 2018. This nine-month role allowed him to engage in research activities that contributed to his academic development. Additionally, he served as Head Teaching Assistant, Teaching Assistant, and Demonstrator at the same institution from 2014 to 2018, further enhancing his teaching and mentoring skills.
Research Fellow at National Library of Medicine
From 2018 to 2023, Qingyu Chen worked as a Research Fellow at the National Library of Medicine (NLM) in Bethesda, MD. This five-year position involved conducting research in the fields of biomedical natural language processing and medical image analysis, aligning with his interests in AI and data science.
Education and Expertise
Qingyu Chen earned his Doctor of Philosophy (PhD) in Computer Science and Bioinformatics from the University of Melbourne, completing his studies from 2014 to 2018. His educational background has equipped him with a strong foundation in both computer science and bioinformatics, which he applies in his current research endeavors.