Statistics' Xinwei Deng named Data Science Faculty Fellow
Data Science Faculty Fellowships were established in 2021 by an anonymous donor to enhance the national and international prominence of the study and teaching of data science at Virginia Tech.
The fellowships were established to recognize faculty dedicated to extraordinary research and teaching, to recruit scholars with exceptional records of achievement, and to retain high-performing faculty members with scholarly focus on data science or the application of data science within and across disciplines.
Recipients hold the title of Data Science Faculty Fellow for a period of two years.
A member of the Virginia Tech faculty since 2011, Deng is a data science researcher working with both design of experiments and machine learning for large scale analysis, learning, and decision-making processes. His primary research focuses on developing theoretically sound and computationally efficient methods to model large, complex data; the interface between experimental design and machine learning; and novel statistical methods in emerging areas such as nanotechnology, tissue engineering, environmental science, risk analytics, and epidemiology. His research has practical implications for many important problems facing society.
Deng has more than 80 peer-reviewed publications and conference proceedings with more than 70 invited presentations at national and international conferences. He has served in numerous leadership roles for both national and international conferences as well as on editorial and grant review boards.
His research has been supported by 21 research grants including six National Science Foundation grants, two Intelligence Advanced Research Projects Activity grants, two Virginia Commonwealth Cyber Initiative grants, and several grants from industry including Proctor & Gamble.
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.