Ran Xin is a staff research scientist at ByteDance Seed, specializing in LLM and reinforcement learning research. They previously held the role of senior research scientist and contributed to applied machine learning research at ByteDance from 2022 to 2024. Earlier, Ran completed a research internship at IBM in stochastic optimization for machine learning and gained valuable experience as a research assistant at Carnegie Mellon University, focusing on optimization and distributed computation. Ran earned a PhD in Electrical and Computer Engineering from Carnegie Mellon University in 2022 and holds a master's degree in the same field from Tufts University, along with a bachelor's in applied mathematics from Xiamen University.
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