Frank Wang

Frank Wang is a Lead Data Scientist at Equinix, where they focus on the innovative application of machine learning, statistics, and physics to enhance data center operations. Since 2016, they have developed intelligent product pricing solutions and predictive analytics for device failures, significantly optimizing operational efficiency. Prior to Equinix, Frank worked as a Scientist at Stanford University's SLAC National Accelerator Laboratory from 2005 to 2016, engaging in high-energy physics research and advanced computational modeling. Frank also served as a Research Assistant at Brookhaven National Laboratory from 2003 to 2005, contributing to studies in particle physics and climate change. Frank is currently pursuing a Ph.D. in Physics at the Institute of High Energy Physics, Chinese Academy of Sciences.