Wenfeng Wang is a seasoned data scientist and software engineer with extensive experience in leveraging machine learning and data analysis within various industries. Currently positioned as a principal engineer and data scientist at Juniper Networks since April 2019, Wenfeng previously contributed to Mist Systems, where expertise in micro-services architecture and real-time streaming processes was applied. Prior to this, Wenfeng served as a data scientist at Venor INC, focusing on algorithms and data modeling, as well as developing techniques in natural language processing and anomaly detection. Earlier roles included significant contributions as a physicist at SLAC National Accelerator Laboratory and as a researcher across institutions in data analysis related to high-energy physics experiments. Wenfeng holds a PhD in Experimental Particle Physics and a BA in Physics from Shandong University.
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