Zengtian Deng
Visiting Graduate Student
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolZengtian Deng is a UCLA Bioengineering PhD candidate and visiting graduate student with eight years of experience building computer vision and machine learning systems for medical imaging. He develops end-to-end models—covering segmentation, harmonization, and prediction—using federated learning frameworks like NvFlare and has created unsupervised super-resolution methods to enhance diffusion-weighted MRI using coupled high-resolution T2 images. His industry work includes delivering sub-millimeter/degree C-arm pose estimation and single-view lesion isocentering at Noah Medical, and accelerating NAS throughput by 78× through practical infrastructure engineering. He has a track record of translating research into applied tools, from radiology report generation with attention transformers to hands-on imaging operations in hospital settings. Combining PhD-level research with startup and clinical experience, he bridges algorithm development, system integration, and real-world deployment in medical imaging.
8 years of coding experience
Master of Science - MS Biomedical/Medical Engineering, Master of Science - MS Biomedical/Medical Engineering at Duke UniversityBachelor of Science - BS Dual majors in Biomedical engineering and Electrical Engineering, Bachelor of Science - BS Dual majors in Biomedical engineering and Electrical Engineering at Rensselaer Polytechnic InstituteUniversity of California, Los Angeles
Chinese, English
Github Skills (13)
image-processing4
image-processor3
monitors2
python2
heart-rate2
unit-testing1
machine-learning1
spring1
javascript1
science1
pandas1
data-science1
testing1
Programming languages (3)
Github contributions (5)
briandzt/bme590final
Nov 2018 - Dec 2018
Image Processor Final Project
Contributions:3 releases, 63 commits, 40 PRs in 19 days
image-processingimage-processor
briandzt/bme590hrm
Oct 2018 - Nov 2018
A python program to read standard ECG data
Contributions:3 releases, 29 PRs, 36 pushes in 19 days
ecg-datapythonecg
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