Xin Xing, assistant professor in the Department of Statistics, part of the College of Science at Virginia Tech, has received the Luther and Alice Hamlett Junior Faculty Fellowship from the Virginia Tech Board of Visitors.

The Luther and Alice Hamlett Junior Faculty Fellowships were established in the College of Science through a bequest from the estate of the late Luther J. and Alice Hamlett. Luther Hamlett earned his bachelor’s degree in biology from Virginia Tech in 1945. Based on Hamlett's dedication to faculty research and collaboration, the fellowships provide support for outstanding faculty members who hold the rank of assistant or associate professors and whose efforts support the missions of the college’s Academy of Integrated Science.

Recipients hold the title of Luther and Alice Hamlett Junior Faculty Fellow for a period of three years.

A member of the Virginia Tech faculty since 2020, Xing’s research focuses on two main areas: differential privacy and uncertainty quantification. Modern 5G phone technology enables faster data transformation, and his research in phone technology involves development of methods for problems such as anomaly detection, traffic prediction, and resource allocation for these 5G networks. His work on uncertainty assessment provides tools to evaluate and measure uncertainty in large scale data sets from genomics and finance.

He has more than 20 publications in or submitted to leading research journals. In addition to publications, Xing also has published software to evaluate parallelism in spatial or in temporal processes and software to aid analysis of metagenomic data. His work has been supported with funding from the National Science Foundation through an Algorithms for Threat Detection Grant. He has also received funding from NVIDIA, a world leader in artificial intelligence computing, to study accelerated data science.

Xing reviews submissions for professional journals in statistics, machine learning, bioinformatics, and genetics. He is also affiliated with the Computational Modeling and Data Analytics (CMDA) program in the College of Science’s Academy of Data Science. He has been instrumental in expanding course offerings in the CMDA major and he developed and teaches a popular new class on deep learning.

Prior to coming to Virginia Tech, Xing held a postdoctoral position at Harvard University. He earned a bachelor’s degree and master’s degree from the University of Science and Technology of China and a Ph.D. in statistics from the University of Georgia.

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