Qi Gong
Senior Machine Learning Engineer at Capital One
Vienna, Virginia, United States
Summary
👤
Senior🎓
Top SchoolQi Gong is a Senior Machine Learning Engineer with 11 years of experience applying ML and software engineering to medical imaging and regulatory-grade evaluation systems. He built eeDAP in MATLAB for whole-slide image review—now used by major cancer centers and under FDA review—while producing validated deep-learning models for tumor cellularity and novel data-driven variance-stabilizing transforms. Comfortable across Matlab, Java, R and familiar with Python, SQL and C/C++, he has moved from hands-on research at the FDA to production ML roles at Capital One, bridging clinical-grade analytics and scalable engineering. Qi’s background in electrical and computer engineering (MS, GWU) and mechanical engineering (BASc, China Agricultural University) gives him an uncommon blend of imaging physics, statistical rigor, and software delivery.
10 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Electrical and Electronics Engineering, 3.97, Master of Science (MS), Electrical and Electronics Engineering, 3.97 at The George Washington UniversityBachelor of Applied Science (BASc), Mechanical Vehicle Engineering, 3.56, Bachelor of Applied Science (BASc), Mechanical Vehicle Engineering, 3.56 at China Agricultural University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
user-manual10
evaluation10
imagej7
digital-pathology6
javafx6
image-processing6
qupath5
groovy5
machine-learning5
opencv4
python4
r-package4
slide2
visualization2
markdown2
Programming languages (4)
Github contributions (5)
DIDSR/iMRMC
Sep 2015 - Feb 2020
iMRMC: Software to do multi-reader multi-case analysis of reader studies
Contributions:9 releases, 207 commits, 60 PRs in 4 years 6 months
user-manualmanual
DIDSR/eeDAP
Jun 2015 - Feb 2020
Evaluation Environment for Digital and Analog Pathology
Contributions:6 releases, 195 commits, 43 PRs in 4 years 9 months
analogevaluationpathology
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