Hsieh-fu Tsai

Assistant Professor at RyuDyn

Taoyuan City, Taiwan
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Summary

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Senior
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Top School
Hsieh-fu Tsai is an assistant professor and biomedical engineer with a decade of experience building microfluidic devices and translational image-analysis solutions. Trained in clinical laboratory science and microengineering, he completed a PhD at OIST and has blended academic research with startup-driven product development as co-founder of RyuDyn. His current work focuses on machine learning–based biomedical image analysis to accelerate high-throughput, time-resolved cell imaging and extract temporal dynamics often missed in standard workflows. He has a track record of securing and translating complex experimental platforms—ranging from multi-electric-field chips to automated stimulation systems—into practical tools for discovery. Based in Taoyuan, Taiwan, he combines hands-on device engineering, computational analysis, and an entrepreneurial drive to bring lab-scale innovations toward commercial impact.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Science (B.S.), Medical Biotechnology/Clinical Microbiology, Bachelor of Science (B.S.), Medical Biotechnology/Clinical Microbiology at National Taiwan University
bookMaster of Science (M.S.), Microfluidics/Bioelectromagnetics/Cellular signaling, Master of Science (M.S.), Microfluidics/Bioelectromagnetics/Cellular signaling at National Yang Ming University
bookDoctor of Philosophy (Ph.D.), Biomedical engineering, Doctor of Philosophy (Ph.D.), Biomedical engineering at Okinawa Institute of Science and Technology Graduate University (OIST)
languagesEnglish, Chinese, Japanese, Mandarin
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Github Skills (52)

wsi10
imaging10
diffraction10
robust10
contrast10
multiclass-classification10
microscopy10
aravis9
machine-learning9
v4l29
latex9
udev9
camera8
bibtex8
particle7

Programming languages (5)

TypeScriptJavaC++Jupyter NotebookPython

Github contributions (5)

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oist/Usiigaci

Jun 2018 - Sep 2020

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Contributions:113 commits, 18 pushes, 45 comments in 2 years 3 months
wsisupervisedmachine-learningtrackingimaging
Contributions:8 commits, 3 pushes in 1 year 8 months
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Hsieh-fu Tsai - Assistant Professor at RyuDyn