My research advances the efficiency and accessibility of machine learning systems and AI computing infrastructure. A central theme of my work is designing novel abstractions, parallelization strategies, and scheduling algorithms that leverage the unique characteristics of large-scale AI clusters.
I have published first-author papers in the most prestigious conferences across the fields of computer networks, computer architecture, and database systems, including NSDI, ASPLOS, and SIGMOD.
I have designed and operated AI cluster TACC that serves over 500 faculty and students at HKUST, working with a team of excellent PhDs. I am at the final year of my PhD in Computer Science at HKUST, supervised by Prof. Kai Chen, and completed my BSc in Computer Science from Renmin University of China.
My work seeks the synergy between technology and creativity. I aim to design exceptional user experiences in products that embed advanced technologies, transforming the way people interact with complex systems. The Wall Street Journal featured an exclusive interview with me for creating the world-recognized all-terrain robot HEXA.
I was named to the Forbes 30 Under 30 list twice, in 2020 (China) and 2022 (Asia).
Earlier in my career, I worked in serveral startups including as an algorithm engineer at Zhihu.com (NYSE: ZH) and a backend engineer at Tantan (now part of MOMO, NASDAQ: MOMO). See my LinkedIn profile for more details.