Core Viewpoint - Lijie Chen, a prominent young scholar in theoretical computer science and a Tsinghua University "Yao Class" alumnus, has officially joined OpenAI as a full-time researcher while on leave from UC Berkeley [1][2]. Group 1: Academic Background - Lijie Chen graduated from Tsinghua University and obtained his PhD from MIT, excelling in computational complexity theory [2]. - He was a standout competitor in informatics competitions, winning a gold medal at the National Olympiad in Informatics (NOI) in 2011 and achieving first place globally at the International Olympiad in Informatics (IOI) in 2013 [6]. - During his undergraduate studies, he shifted focus from programming competitions to theoretical computer science research, earning a special scholarship at Tsinghua University [8]. Group 2: Research Contributions - Chen published a paper at FOCS as an undergraduate, becoming the first Chinese undergraduate to do so, addressing an open problem in quantum statistical zero-knowledge proofs [10][12]. - His doctoral research led to significant breakthroughs in computational complexity, circuit complexity, and pseudorandomness, earning multiple best student paper awards at top theoretical computer science conferences [13]. - He proposed a potential path to bypass the "natural proofs" barrier, demonstrating that certain problems are hard under weak circuit models, which could imply P ≠ NP [14]. Group 3: Current Position and Future Prospects - After completing his PhD, Chen received the Miller Fellowship at UC Berkeley, allowing him to focus on cutting-edge topics with complete academic freedom [16]. - He joined UC Berkeley's Electrical Engineering and Computer Sciences department as an assistant professor in July 2025, continuing his teaching and research endeavors [17].