Ryan Lane
Scientist at Arcadia Science
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Lane is a physicist-turned-image-analysis scientist with a decade of experience applying machine learning, computer vision, and data-driven workflows to microscopy and nanobiology. He earned a PhD from TU Delft and led development of automated 3D correlative light and electron microscopy and high-throughput electron microscopy pipelines as a postdoc, translating experimental needs into robust computational tools. Now at Arcadia Science he focuses on image analysis for biological discovery, combining theoretical rigor with hands-on experimental design and data management. His background designing and characterizing focused ion beam systems and early work at SLAC give him an uncommon fluency across instrumentation, algorithm development, and practical lab constraints. Colleagues rely on him to bridge interdisciplinary teams and deliver reproducible analysis that accelerates complex imaging projects.
10 years of coding experience
2 years of employment as a software developer
MS, Applied Physics, MS, Applied Physics at University of OregonBS, Physics, BS, Physics at Dickinson CollegeTU Delft
Github Skills (31)
wsi10
microscopy10
jupyter9
notebook9
imaging9
python9
ipython9
image-data9
neuroscience8
post-processing8
network-analysis8
image7
computer-vision6
reader6
image-annotation6
Programming languages (6)
Github contributions (5)
hoogenboom-group/PSF-Extractor
Jun 2021 - Jun 2022
Contributions:197 commits, 73 pushes, 8 comments in 11 months
hoogenboom-group/Lane-optimization-2020
Aug 2020 - Feb 2022
Contributions:2 releases, 26 pushes, 1 branch in 1 year 6 months
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