Jaewon Yang

Assistant Professor at UT Southwestern Medical Center

Dallas, Texas, United States
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Summary

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Senior
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Top School
Jaewon Yang is an assistant professor and imaging scientist with 13 years of experience developing robust deep learning models and quantitative techniques for PET, SPECT, and multimodality imaging. He combines a Stanford-trained electrical engineering and radiation oncology background with hands-on expertise in attenuation and motion correction, quantitative analysis, and clinical data acquisition/management. At UCSF and now UT Southwestern he translated research into practical imaging workflows and evaluation, routinely working across PET/MR, PET/CT and dedicated cardiac SPECT. Beyond academic labs, he has contributed backend code to the well-known SNAP graph analysis library, implementing AGM network generation functions and examples—illustrating his comfort crossing from medical imaging to general-purpose open-source software. Colleagues know him for pragmatic, reproducible solutions that bridge algorithm development and clinical deployment. Based in Dallas, he continues to blend technical rigor with translational impact in radionuclide imaging.
code13 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at 연세대학교 / Yonsei University
bookDoctor of Philosophy (Ph.D.), Electrical Engineering and Radiation Oncology, Doctor of Philosophy (Ph.D.), Electrical Engineering and Radiation Oncology at Stanford University
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Github Skills (7)

algorithm10
data-structures10
algorithms10
c-language10
cprogramming-language10
network-analysis10
data-structure10

Programming languages (1)

C++

Github contributions (1)

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snap-stanford/snap

Jan 2013 - May 2014

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Role in this project:
userBack-end Developer
Contributions:38 commits in 1 year 4 months
Contributions summary:Jaewon's commits primarily involve the addition and modification of code related to the "AGM" (AGM: network generation model) library within the SNAP (Stanford Network Analysis Platform) repository. The contributions include the implementation of functions for generating graphs based on the AGM model, along with utility functions for community affiliation, and adjustments to the AGM model fitting process. Furthermore, the user appears to be involved in adding example codes and fixing minor bugs.
stanfordpythonminingpurposegraph
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Jaewon Yang - Assistant Professor at UT Southwestern Medical Center