Summary
Yinhao Ren is a Senior Research Scientist with eight years of experience applying deep learning to radiology, specializing in breast cancer detection, segmentation, and synthesis for mammography and tomosynthesis. He combines academic rigor from a PhD in Biomedical Engineering with hands-on R&D leadership at iCAD and Carl E. Ravin Advanced Imaging Laboratories, driving next-generation screening AI from dataset curation to clinical-aware model development. Comfortable implementing and improving state-of-the-art models, he has translated medical-imaging concepts to natural-domain problems, highlighting an interdisciplinary mindset. His background spans practical engineering—from firmware and OCT scanner control to molecular-biology assays—giving him unusual fluency across hardware, wet lab, and ML domains. Based in the Raleigh-Durham area, he focuses on closing gaps between CAD research and clinical deployment to make AI tools reliably useful in practice.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Duke University
Bachelor of Applied Science (B.A.Sc.), Bioengineering and Biomedical Engineering, GPA:3.7/4, Bachelor of Applied Science (B.A.Sc.), Bioengineering and Biomedical Engineering, GPA:3.7/4 at Case Western Reserve University
English, Chinese