Yiming Zuo

Yiming Zuo is a highly experienced machine learning professional with a strong background in developing models for cancer biomarker identification and various audio processing applications. Academic experience includes positions as a Research Assistant at both Georgetown University and Virginia Polytechnic Institute and State University, focusing on high-throughput omic data, and as a Visiting Student Researcher at Stanford University, integrating imaging and multi-omic data. Yiming Zuo has also interned at LogicNets, Inc, developing rule-based models for treatment planning. In recent roles at HP, Yiming Zuo served as a Machine Learning Engineer and Machine Learning Research Scientist, working on audio noise management and quality control for Surface-enhanced Raman spectroscopy projects. Currently, Yiming Zuo is a Machine Learning Engineer at Meta, focusing on LLM optimization within the Monetization GenAI Foundation. Yiming Zuo holds a Ph.D. in Electrical and Electronics Engineering from Virginia Tech and a Bachelor's degree from Zhejiang University.