Jingyun Chen
Postdoctoral Research Scientist at Thomas J. Watson College of Engineering and Applied Science, Binghamton University
Town of Clarence, New York, United States
Summary
👤
Senior🎓
Top SchoolJingyun Chen is a postdoctoral research scientist with eight years of hands-on experience applying machine learning to medical imaging, specializing in federated learning across distributed MRI, PET, and CT datasets. She has built federated tumor segmentation frameworks and imaging quality-control pipelines at leading institutions including Columbia, NYU Langone, and now Binghamton University, where she develops foundation models for precision medicine. Her background spans clinical-facing roles—coordinating validation studies and supporting hospital deployments—to high-performance research such as real-time fMRI systems, giving her rare end-to-end fluency from algorithm to clinical translation. Trained as a Ph.D. biomedical engineer and with earlier degrees in nuclear and electrical engineering from Tsinghua, she blends rigorous quantitative skills with practical deployment experience. An understated strength is her track record in creating reproducible imaging toolkits and QA programs that improve multi-site study reliability.
8 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.) Nuclear Engineering, Master of Science (M.Sc.) Nuclear Engineering at Tsinghua UniversityDoctor of Philosophy (Ph.D.) Biomedical Engineering, Doctor of Philosophy (Ph.D.) Biomedical Engineering at Simon Fraser University
Chinese, python, bash
Github Skills (9)
xtk10
visualization6
javascript6
mri5
federated-learning2
libp2p1
pytorch1
python1
data-visualization1
Programming languages (3)
Github contributions (5)
jingyunc/wmhs
Aug 2019 - Jan 2022
Contributions:26 commits, 5 pushes in 2 years 5 months
jingyunc/ntools_browser
Aug 2019 - Apr 2022
Web-based Electrode Visualization
Contributions:129 commits, 99 pushes, 2 issues in 2 years 8 months
javascriptweb-basedfreesurferecogxtk
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