معرفی
Wei-Kai Lin is an Assistant Professor in the Department of Computer Science at the University of Virginia. He holds a Ph.D. from Cornell University and previously worked as a postdoctoral researcher at Northeastern University and CMU, advised by Professors Daniel Wichs and Elaine Shi. His research focuses on cryptography and theoretical computer science, particularly private accesses on big data, oblivious RAM (ORAM), and private information retrieval (PIR). Lin's work has been recognized with the Best Paper Award at STOC 2023 for his breakthrough in doubly efficient PIR and FHE for RAM programs.
Lin's education includes a B.S. and M.S. from National Taiwan University, followed by roles as a software engineer and a research assistant at Academia Sinica. He teaches courses such as Introduction to Cryptography (CS 6222) and Cryptography (CS 4501) at UVA. He actively organizes the UVA Theory Seminar, fostering discussions on topics like expander codes, multiplicative weights algorithms, and privacy-preserving techniques.
His research interests include cryptographic protocols that minimize computational overhead while ensuring privacy, such as OptORAMa (the first optimal ORAM scheme) and NanoGRAM (garbled RAM with logarithmic overhead). Lin collaborates with industry and academia, addressing challenges in secure computation and privacy in distributed systems.
