Ke Wen is a skilled software engineer with extensive experience in high-performance computing and parallel processing. Beginning with internships at MERL and Bell Laboratories, Ke Wen further developed expertise through roles at Berkeley Lab and NVIDIA, where contributions included the development of the NVIDIA Collective Communication Library (NCCL). Currently serving as a software engineer at Meta, Ke Wen focuses on implementing PyTorch parallel APIs and maintaining the communication layer while building platforms for distributed training and inference. Ke Wen also participated in the Argonne Training Program on Extreme-Scale Computing and completed a PhD at Columbia University in the City of New York from 2012 to 2016.
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