Jiahong Ouyang
Lead Clinical Machine Learning Scientist at insitro
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJiahong Ouyang is a Lead Clinical Machine Learning Scientist at insitro, where he translates cutting-edge ML research into scalable clinical-imaging solutions. He brings 9 years of experience across academia and industry, with a multidisciplinary background in electrical engineering, robotics, and automation. A PhD candidate at Stanford's Electrical Engineering program, he previously earned an MS in Robotics System Development from CMU and a BS in Automation from Tsinghua. In Genentech, he built a deep-learning framework to predict lung function decline from baseline CTs in idiopathic pulmonary fibrosis, reducing covariate-adjustment variance by about 40%. At Philips, he contributed to weakly supervised lung ultrasound detection, resulting in a paper accepted at IPMI 2023. Based in San Jose, California, he focuses on bridging research, trials, and production ML systems for clinical decision support.
10 years of coding experience
Bachelor's degree, Automation, 3.76, Bachelor's degree, Automation, 3.76 at Tsinghua UniversityMaster's degree, Robotics System Development, 4.00, Master's degree, Robotics System Development, 4.00 at Carnegie Mellon UniversityDoctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.84, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 3.84 at Stanford University
Chinese, English
Github Skills (4)
deep-learning1
tensorflow1
image-translation1
translation1
Github contributions (5)
ouyangjiahong/project_lowdose_Amyloid
Jun 2018 - Oct 2019
Contributions:56 commits, 1 push in 1 year 4 months
ouyangjiahong/longitudinal-neighbourhood-embedding
Mar 2021 - Jan 2023
Contributions:24 commits, 6 pushes in 1 year 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.