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Lijie Chen's research primarily focuses on theoretical computer science, with particular interest in classical and quantum computational complexity theory and its connections to fields like quantum physics. He has held the position of Miller Postdoctoral Fellow at the University of California, Berkeley, working under the supervision of prominent researchers such as Avishay Tal and Umesh V. Vazirani. He received his Ph.D. in Computer Science from the Massachusetts Institute of Technology, where he was advised by Ryan Williams. Before pursuing his doctoral studies at MIT, he obtained his bachelor's degree from the Yao Class at Tsinghua University, where he worked with Professor Jian Li on Multi-Armed Bandit problems. Lijie has also been a visiting researcher at MIT during the Spring of 2016, under the guidance of Professor Scott Aaronson, focusing on Quantum Complexity.
University of California, Berkeley • Berkeley, CA
Conducting research in theoretical and quantum computational complexity theory.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.