Haodong Chen
PHD Fellow at Seattle Children's
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHaodong Chen is a PhD-trained machine learning and computer vision researcher with 11 years of experience applying Industrial AI to healthcare and human–robot interaction. His work spans dataset construction and augmentation (including GANs), real-time embedded HRC systems, and scalable ML services—translating research prototypes into production-grade systems at Peloton and in university labs. He has demonstrated strong applied results (e.g., +5% RepCount accuracy, +8% temporal mAP, and high-90s% accuracy on gesture/action tasks) and built end-to-end software from Raspberry Pi HRC controllers to AWS-powered ML platforms. Currently focused on clinical AI at Seattle Children’s, he blends deep learning, safety evaluation, and software engineering to improve medical imaging and prognostics. Notably, he frequently couples generative techniques with sensor fusion and attention models to overcome data scarcity and viewpoint variation in real-world deployments.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Missouri University of Science and TechnologyExchange Student, Mechanical Engineering, Exchange Student, Mechanical Engineering at I-Shou UniversityMaster of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Hefei University of Technology
Github Skills (12)
seq7
genomics7
bioinformatics7
rna-seq6
sequencing5
python-bindings5
data-processing4
letter4
bam3
genome3
sequence3
pipeline2
Programming languages (5)
Github contributions (5)
haodongchen/kf-sentieon-workflows
Dec 2021 - Nov 2024
Contributions:46 pushes, 1 branch in 2 years 11 months
haodongchen/sentieon-jointgenotyping-workflow
Mar 2024 - May 2024
Contributions:3 reviews, 14 PRs, 36 pushes in 1 month
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