Summary
Yifan Yu is a PhD student and research intern focused on making generative AI systems more efficient through model compression, quantization, and inference optimization. With a decade of experience spanning research roles at UIUC, Georgia Tech, Google, Amazon, and Together AI, he blends algorithmic curiosity with practical engineering to speed up large language models and search algorithms. He has hands-on experience in neural architecture search and ensemble optimization from academic projects and applied transformer work from industry internships. Based in Urbana, Illinois, Yifan is an enthusiastic open-source hobbyist—humorously calling his GitHub an “orphanage of hobby projects”—and enjoys uncovering structure in language and vision models that most people overlook.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Georgia Institute of Technology
IB diploma program, IB diploma program at International Baccalaureate
International Baccalaureate, International Baccalaureate at Shanghai World Foreign Language Academy
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign