Linjing Fang
Graduate Student
Pasadena, California, United States
Summary
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Senior🎓
Top SchoolLinjing Fang is an image analysis specialist and graduate student based in Pasadena with eight years' experience applying computational methods to biological microscopy. At the Salk Institute she partners with researchers to provide quantitative analysis across diverse modalities—from super-resolution and 2-photon to serial block-face EM—while training users on Imaris, Fiji/ImageJ, Arivis, and Aivia. Her master's work at Cornell demonstrated that ML-based vessel segmentation outperforms other automated methods for 3D multiphoton capillary data, a result that informed her ongoing development of standardized deep-learning segmentation pipelines. She also builds high-resolution 3D GPU-based image restoration tools that combine cutting-edge denoising and deconvolution to rescue extremely low SNR fluorescence and EM images. Known for translating domain needs into practical algorithms, she balances collaborative service work with independent tool development that accelerates biological discovery.
8 years of coding experience
Bachelor’s Degree, Bachelor’s Degree at Southeast UniversityMaster’s Degree, Master’s Degree at Cornell UniversityExchange Student, Exchange Student at City, University of London
Chinese, EnglishGithub contributions (5)
fanglanting/RA-retrofit
Jan 2019 - Sep 2019
Contributions:12 commits, 9 pushes, 1 branch in 7 months
fanglanting/skip-gram-pytorch
Oct 2017 - Oct 2017
Contributions:12 commits, 8 pushes, 1 branch in 1 day
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