Tan Nguyen
Staff Imaging Machine Learning Scientist at insitro
Hopkinton, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolTan Nguyen is a Staff Imaging Machine Learning Scientist with a decade of expertise marrying optical hardware and deep learning to solve challenging biomedical imaging problems. He has led development of novel imaging systems and vision-language segmentation models—most recently building a promptable cell segmentation model and ContriMix, an unsupervised color augmentation that set SOTA on Camelyon17. His work spans end-to-end stacks from lensless and multispectral acquisition to representation learning and generative synthesis of multispectral polarization images used for fibrosis analysis. At PathAI and MIT he blended instrument engineering, algorithm design, and clinical collaboration to push throughput, robustness, and translational impact while securing major NIH funding and regulatory milestones. Now at insitro, he continues to translate advanced imaging modalities into scalable ML-driven pathology tools. A PhD-trained imaging scientist, Tan is equally comfortable prototyping optics and shipping production-ready ML systems that address rare-class and domain-shift challenges.
10 years of coding experience
13 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at University of Illinois Urbana-ChampaignBachelor of Engineering (B.E.) EE/Automation, Bachelor of Engineering (B.E.) EE/Automation at Hochiminh Univerisity of Technology
Github Skills (2)
react4
javascript3
Programming languages (1)
Github contributions (5)
thnguyn2/Halo_removal_with_two_gammas
Nov 2015 - Nov 2018
Contributions:98 pushes, 22 branches in 3 years
thnguyn2/ECE_527_MP
Sep 2015 - Oct 2015
Contributions:94 pushes, 5 branches in 1 month
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