Summary
Yimeng Dou is a postdoctoral researcher specializing in implicit neural representations and novel view synthesis with applied work in healthcare imaging and biomedical data. With eight years of research and industry experience spanning UC Davis, UW–Madison, xAI, and now Vanderbilt, she bridges foundational machine learning, signal processing, and translational biomedical problems. Her PhD in Electrical and Computer Engineering complements a master's in Biomedical Data Science and a biomedical engineering undergraduate background, enabling cross-disciplinary solutions from model theory to clinical application. She has experience in both academic labs and startup environments, including co-founding a digital health venture, which informs a pragmatic, product-aware approach to research. Based in Madison, WI, Yimeng often focuses on making neural scene representations robust and clinically useful—an uncommon emphasis that steers her toward deployable ML for healthcare.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biomedical/Medical Engineering, Bachelor's degree Biomedical/Medical Engineering at University of California, Davis
Doctor of Philosophy - PhD Electrical and Computer Engineering - Machine learning signal processing and information theory, Doctor of Philosophy - PhD Electrical and Computer Engineering - Machine learning signal processing and information theory at University of Wisconsin-Madison