Summary
David Zhang is an assistant professor and machine learning scientist with a decade of experience translating cutting‑edge research into clinical AI products across computational pathology, spatial omics, and medical imaging. He developed novel vision‑language and diffusion-based generative models for pathology, engineered a 128× resolution enhancement algorithm, and built rapid, cost‑effective tools for cancer detection—work published in top venues including Nature Biotechnology. Trained as a PhD in Scientific Computing, he blends theoretical rigor (earlier work in algebraic topology and uncertainty quantification) with practical system-building for health care settings. Based in Chapel Hill, he specializes in multi‑modal biomedical AI that moves from foundational models to deployable pipelines, with an uncommon track record of accelerating both image resolution and spatial molecular assays.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Scientific Computing, Doctor of Philosophy - PhD Scientific Computing at University of Michigan
Bachelor of Science - BS Mathematics (with honors), Bachelor of Science - BS Mathematics (with honors) at Calvin University