Qingzong Tseng is a Vice President of Data Science with a PhD in Biophysics and over a decade of cross-disciplinary experience applying computer vision, machine learning, and instrumentation to medical and life-science problems. He has built and led multi-disciplinary teams from R&D through regulatory-compliant software development (IEC62304/ISO13485) to deliver AI-enabled medical imaging products and clinical study protocols. His work spans signal processing, optics, microfluidics and microscopy, and he combines hands-on model development (TensorFlow, scikit-learn) with practical automation skills (LabVIEW, uManager) to bridge lab systems and production pipelines. International academic and industry roles in France, Taiwan, and EU research centers underpin his ability to coordinate complex multinational projects and audits (CE, FDA). Notably, he brings a rare blend of deep bench science—droplet microfluidics and high-content imaging—and product-focused regulatory know-how that accelerates SaMD commercialization.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biophysics, Doctor of Philosophy (Ph.D.), Biophysics at Université Grenoble Alpes
Master’s Degree, Applied physics / Molecular photonics, Institute d’Alembert, Mention Très bien (18.1/20), Master’s Degree, Applied physics / Molecular photonics, Institute d’Alembert, Mention Très bien (18.1/20) at École normale supérieure Paris-Saclay
Bachelor's Degree, Zoology/General Biology/Molecular Biology, Bachelor's Degree, Zoology/General Biology/Molecular Biology at National Taiwan University
Reconstruct daily trends data over extended period
Contributions:4 commits, 1 PR, 4 pushes in 1 year
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