Gongguo Tang joins the department as an associate professor. He started his academic career as an assistant professor at the Colorado School of Mines in 2014, and was tenured and promoted to associate professor in 2020. He was a postdoc at the University of Wisconsin-Madison and a visiting scholar to the big data program at the Simons Institute, University of California-Berkeley from 2011 to 2013. He received his PhD in electrical engineering from Washington University in St. Louis in 2011. His research revolves around modeling and optimization to extract information from data through computation. He is especially interested in the design of learning models, optimization formulations, and numerical procedures that come with theoretical performance guarantees and are scalable to large datasets, with target applications in signal processing, machine learning, and imaging.