Summary
Zefan Wang is a research engineer based in Haidian District, Beijing with nine years of experience focused on large language models and reinforcement learning. Currently at Tsinghua conducting LLM research after internships at Alibaba DAMO Academy (contributing to ICLR'24 and CIKM'24 work) and Microsoft China on Chinese summarization. He holds a master's in computer science from Tsinghua and a bachelor's from University of Science and Technology of China, blending strong academic grounding with applied research. Open to PhD opportunities, Zefan bridges publication-worthy research and practical model engineering. His background suggests a knack for moving ideas from prototype to conference-ready results, particularly in LLM and AIOps contexts. Notably, he combines industry-scale internship experience with ongoing research at a top Chinese university.
9 years of coding experience
学士学位, 计算机科学与技术, 学士学位, 计算机科学与技术 at 中国科学技术大学
硕士, Computer Science, 硕士, Computer Science at 清华