Yadong Lu is a researcher based in the Greater Seattle area with three years of hands-on experience fine-tuning and customizing large language and diffusion models at Microsoft. With a Ph.D. in Statistics from UC Irvine and an applied mathematics background from National University of Singapore and Sichuan University, he blends rigorous theory with practical model engineering. His work focuses on efficient pre- and post-training techniques for vision and language models, building on prior internships developing neural network compression and variable bit-rate image compression at Qualcomm. Earlier experience applying NLP to automate legal document processing shows his ability to translate research into applied systems. Colleagues can expect a data-driven problem solver who bridges statistical foundations and scalable ML workflows.
3 years of coding experience
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Sichuan University
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of California, Irvine
Applied Mathematics, Applied Mathematics at National University of Singapore
Compute FID scores with PyTorch, with customizable option for image sizes etc.
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