Xin Xing

Overview

Xin Xing is an Assistant Professor in the Department of Statistics at Virginia Tech. He holds a PhD from the University of Georgia (2018), an M.S. and B.S. from the University of Science and Technology of China (2013, 2010). His research focuses on statistical methodology development in bioinformatics, machine learning, and computational biology. He has received grants including the NSF ATD (2022-2024) and NVIDIA GPU Grant (2019).

Education

• Ph.D. – Statistics – University of Georgia (2018)
• M.S. – Statistics – University of Science and Technology of China (2013)
• B.S. – Statistics – University of Science and Technology of China (2010)

Research Interests

Dr. Xing's work spans three core areas:

Bioinformatics: Metagenomics, single-cell analysis, epigenomics, neuroimaging.
Statistics: Minimax nonparametric testing, smoothing splines, dimension reduction, controlled variable selection, causal inference.
Machine Learning: Deep learning, generative models, transfer learning, neural network compression.

Key Awards

• New Faculty Mentoring Grant, Virginia Tech (2020-2022)
• Best Senior PhD Student Award, University of Georgia (2018)
• Outstanding Dissertation Award, USTC (2010)

Teaching

Recent courses include CMDA 3654 (Intro to Data Analytics & Visualization) and CMDA 4654 (Deep Learning). Office: D&DS 308.