Wei Tan

Wei Tan is a highly experienced Senior Quantitative Researcher at Citadel since July 2017, with a background in advanced quantitative methods and machine learning. Tan has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering since 2012 and has significant prior experience at IBM from 2010 to 2017, focusing on GPU and Spark accelerated machine learning and distributed computing. Earlier roles include Research Professional Associate at the University of Chicago, where work centered on grid computing in biomedical applications, and a Graduate Level Co-Op at IBM T.J. Watson Research Center involving job flow management in distributed environments. Tan's career began as an intern at IBM China Research Lab, contributing to service-oriented architecture projects. Academically, Tan holds both a Bachelor's degree in Automation and a Ph.D. in Computer Engineering from Tsinghua University.