Jeff Chang
Co-founder at Rad AI
Prosper, Texas, United States
Summary
👤
Senior🎓
Top SchoolJeff Chang is a physician-turned-operator and engineer who has spent the last 12+ years building high-impact startups at the intersection of healthcare and AI. As co-founder of Rad AI he leads development of widely adopted generative AI solutions that streamline radiology workflows and are used by nearly half of US health systems and most large radiology practices. He started college at 13 and med school at 16, becoming one of the youngest radiologists on record, then augmented clinical expertise with ML studies at Edinburgh and an MBA from UCLA to bridge medicine, product, and go-to-market strategy. Prior exits include Doblet (YC S14), where he built portable IoT charging infrastructure, and he’s held roles in PE/VC investing and advising early-stage startups. Based in Prosper, Texas, Jeff combines hands-on ML engineering, clinical credibility, and operator experience to scale mission-driven healthcare technology. His career reflects an unusual blend of rapid early academic progression and practical startup execution across hardware, software, and clinical domains.
12 years of coding experience
4 years of employment as a software developer
BS BA Chemistry and Biology, BS BA Chemistry and Biology at The George Washington UniversityGraduate Studies Artificial Intelligence, Graduate Studies Artificial Intelligence at The University of EdinburghMBA Entrepreneurship, MBA Entrepreneurship at UCLA Anderson School of ManagementMD Medicine, MD Medicine at NYU Grossman School of MedicineRuby on Rails JavaScript, Ruby on Rails JavaScript at Dev Bootcamp
Github Skills (7)
react3
credit2
credit-card2
ios1
sdk1
scanning1
mobile1
Github contributions (3)
doblet/v1-5_firmware
Oct 2016 - Oct 2016
Contributions:1 branch in 1 day
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