I am Tian Li (李恬 in Chinese), a fourth-year PhD student in Computer Science Department at Carnegie Mellon University working with Virginia Smith. My research generally centers around distributed optimization, federated learning, and data-intensive systems. Specifically, I am interested in designing, analyzing, and evaluating learning algorithms in distributed settings, taking into account real-world constraints to push towards more accurate, scalable, and trustworthy computation over decentralized data.
Prior to CMU, I received undergraduate degrees in Computer Science and Economics from Peking University in 2018.