Kaiyu Zheng is a research scientist based in California with 11 years of experience at the intersection of robotics, medical imaging, and generative AI. Currently contributing to next-generation multimodal large language model development at Meta, he previously led development of an adaptive unsupervised LLM-guided diffusion model that boosted MRI SNR by 150% and outperformed a SubtleMR baseline by 30%. His background spans academic visits at Tsinghua and UIUC, GAN-based 4D image reconstruction research, and hands-on data engineering at IBM, anchored by a PhD from the University of Washington and a technology entrepreneurship certificate. Kaiyu blends deep technical rigor with translational focus—turning advanced generative techniques into measurable clinical imaging gains—and brings a roboticist’s systems thinking to applied AI problems. He consistently bridges research and product impact, often favoring unsupervised and model-guided approaches that reduce dependence on labeled data.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Washington
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Wuhan University
Technology Entrepreneurship Certificate (TEC), Technology Entrepreneurship Certificate (TEC) at UW Foster School of Business
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