Yi Jiang
Beamline Data Scientist
Lemont, Illinois, United States
Summary
👤
Senior🎓
Top SchoolYi Jiang is a beamline data scientist at Argonne National Laboratory with a decade of experience applying computational imaging, machine learning, and Bayesian optimization to electron and X‑ray ptychography, tomography, and laminography. At the Advanced Photon Source they build high-throughput workflows and real-time reconstruction strategies that enable large field-of-view, nanoscale 2D/3D imaging and sub‑Ångström electron ptychography while keeping dose low. Yi combines physics training (PhD, Cornell) with practical ML—using deep learning for phase retrieval, super-resolution, artifact reduction, and deep-kernel Bayesian searches—to automate experiment design and parameter tuning. Their work is notable for turning advanced compressed-sensing and dynamic reconstruction ideas into deployable beamline pipelines that bridge cutting-edge research and operational imaging at scale.
10 years of coding experience
3 years of employment as a software developer
PhD., Physics, PhD., Physics at Cornell University
Github Skills (22)
open-science10
visualization10
3d-graphics10
tomography10
python10
scientific-visualization10
vtk10
opengl10
microscopy10
computational-science9
computed-tomography9
gpt9
ray8
usability8
cross-platform8
Programming languages (4)
Github contributions (5)
yijiang1/tomviz
Sep 2015 - Mar 2017
Contributions:81 pushes, 84 branches in 1 year 7 months
tomographycross-platformopen-platformvisualization
yijiang1/fold_slice
Jan 2021 - Jan 2023
Electron/X-ray ptychography and tomography/laminography
Contributions:258 commits, 91 PRs, 79 pushes in 2 years
rayelectronxray-diffractiontomographyptychography
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