Yuning Chen

Yuning Chen is a highly skilled professional with a strong background in research and software engineering, specializing in machine learning, cloud computing, and network optimization. Experience includes a research internship at Alibaba Cloud focused on benchmarking large language and code generation models, and a software engineering internship at ByteDance where Yuning developed a proactive IP anycast catchment measurement system for TikTok. Additional research roles include an internship at Nanyang Technological University Singapore, where Yuning optimized WebRTC video conferencing systems, and a research assistant position at Tsinghua University concentrating on weakly supervised deep learning. Currently serving as a research scientist at Meta, Yuning is pursuing a Doctor of Philosophy in Electrical Engineering and Computer Science at the University of California, Merced, following a Bachelor's degree in Computer Software Engineering from Tsinghua University.