Core Insights - Chen Lijie, a prominent figure from Tsinghua University's Yao Class, has joined OpenAI to focus on mathematical reasoning [3][6] - His recent research is centered on Diffusion Language Models, aligning with the current evolution of generative models [6] Group 1: Background of Chen Lijie - Born in 1995, Chen Lijie won a gold medal at the National Olympiad in Informatics at the age of 16 and was admitted to Tsinghua University [11] - He became an assistant professor at UC Berkeley in 2025, specializing in computational complexity theory [11][16] - Chen has a remarkable academic history, having published multiple papers in prestigious conferences during his undergraduate studies [14] Group 2: Academic Achievements - He was the first Chinese undergraduate to publish at the FOCS conference in 2017, solving significant problems in computational complexity [15] - Chen received his PhD from MIT in 2022 and was awarded the Miller Fellowship at UC Berkeley, a prestigious honor for outstanding young scholars [15] - His research contributions include advancements in derandomization and complexity lower bounds, with a recent paper addressing a long-standing problem in complexity theory [15][19] Group 3: Current Research Focus - Chen's primary research areas include P vs NP, circuit complexity, and algorithmic lower bounds, with applications in quantum physics and AI safety [19] - His involvement with OpenAI marks a significant step in exploring AI safety, particularly in the context of his expertise in complexity theory [19]