Summary
Zijian Yang is a postdoctoral scholar and translational engineer with nine years of experience building integrated hardware-software solutions for next-generation healthcare. Trained at UPenn, UIUC, and Zhejiang University, he combines machine-learning diagnostic models with wearable/flexible electronics, microfluidic platforms, and point-of-care commercial chips (contributing to a startup that raised $8M). His PhD work fused extracellular vesicle RNA, clinical data, and ML for precision diagnostics across hundreds of patients, and he has driven high-throughput single-molecule and organ-scale bioelectronics projects from foundry-compatible fabrication to in vivo testing. Based in Palo Alto, he blends deep materials and device expertise with data-driven algorithms, and has a knack for turning niche lab techniques—like single-mitochondrion isolation—into scalable platforms.
9 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
Bachelor of Engineering, Materials Science, Bachelor of Engineering, Materials Science at Zhejiang University
University of California, Davis
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at University of Pennsylvania
high school affiliated to nanjing normal university
English, Chinese