Xinwei Deng, an associate professor in the Department of Statistics, is a data science researcher working with both design of experiments and machine learning for large scale analysis, learning, and decision-making processes. His research focuses on big data, often streaming in real-time, with a goal of designing decision analytics that are efficient, accurate, fair, and robust. Since joining Virginia Tech in 2011, he has brought in more $500,000 in research funding from such agencies as the National Science Foundation (NSF), the Commonwealth Center for Advanced Manufacturing, and the Proctor & Gamble Company.
Prior to joining Virginia Tech, Deng was a visiting assistant professor at University of Wisconsin-Madison. He earned a bachelor’s in mathematics from China’s Nanjing University in 2003 and a Ph.D. in statistics from the Georgia Institute of Technology in 2009.
Roger Moore and Mojdeh Khatam-Moore Faculty Fellowship
The Roger Moore and Mojdeh Khatam-Moore Faculty Fellowship was established in 2019 by a donation from its namesakes, Roger Moore ’64 and his wife, Mojdeh Khatam-Moore. Recipients are: