Summary
Yi Li is an Associate Professor at Nanyang Technological University with 16 years of experience bridging theoretical computer science and practical data problems. His research focuses on algorithms for massive data sets, streaming algorithms, low-distortion metric embeddings, and compressive sensing, with a track record spanning academia and industry research roles including Facebook and the Max-Planck Institute. He earned his PhD from the University of Michigan and has held prestigious fellowships at the Simons Institute and Harvard, reflecting a depth in both foundational theory and collaborative interdisciplinary work. Yi’s background in sparse recovery and streaming estimators has led to contributions that make large-scale signal processing and frequency estimation more storage- and compute-efficient. Based in Singapore, he combines rigorous theory with applied perspectives, often tackling problems where adversarial or turnstile-style data updates complicate classical approaches.
16 years of coding experience
13 years of employment as a software developer
Exchange Student, Exchange Student at National University of Singapore
M Sc, Computer Science and Engineering, M Sc, Computer Science and Engineering at University of Michigan
Doctor of Philosophy (Ph.D.), Computer Science and Engineering, Doctor of Philosophy (Ph.D.), Computer Science and Engineering at University of Michigan, Ann Arbor
Bachelor of Engineering (B.Eng.), Computer Science and Engineering, Bachelor of Engineering (B.Eng.), Computer Science and Engineering at Shanghai Jiao Tong University
Chinese, English