Adjunct Faculty

Hong-Wen Deng | Adjunct Professor
Ph.D., 1995, University of Oregon
Research Interests: Multi-omics (Including metagenomics) and trans-omics, biostatistics and bioinformatics, genetics of complex diseases, single cell sequencing, big data, machine learning (including deep learning), data analytics, osteoporosis, sarcopenia, obesity, and other complex diseases, tissue spatial profiling, computational biology, Alzheimer’s disease, cancer.

Xiaowen (Kevin) Liu | Adjunct Professor
Ph.D., 2008, City University of Hong Kong
Research Interests: Bioinformatics, algorithms, machine learning, and computational proteomics

Maarten Löffler| Visiting Assistant Professor
Ph.D., 2009, Utrecht University
Research Interests: Computational geometry, geographical information analysis, graph drawing and visualization, reconfiguration algorithms, algorithms for data science, game research, science communication

K. Brent Venable| Professor
Ph.D., 2005, University of Padova
Research Interests: Artificial Intelligence

Jeffrey S. Vitter | Adjunct Professor, Distinguished Professor of Computer & Information Science at the University of Mississippi
Ph.D., 1980, Stanford University
Research Interests: Design and analysis of algorithms with many practical applications, primarily in four key subfields dealing with big data and data science. Dr. Vitter is perhaps best known for his work on external memory algorithms, which focuses upon alleviating the I/O communication bottleneck between different levels of memory. A second key aspect of his work on big data involves compressed data structures, where the goal is to search and operate directly upon compressed representations of data, yet still achieve fast response time. In a third aspect of big data, Dr. Vitter has done fundamental work on data compression for text, images, and video and is noted for his analytical bent. Fourth, Dr. Vitter and collaborators were the first in the database and systems communities to apply wavelets and compression techniques as key tools for summarizing, approximating, and predicting data, with applications to machine learning.

Yu-Ping Wang | Associate Professor of Biomedical Engineering
Ph.D., 1996, Xi'an Jiaotong University
Research Interests: Biostatistics and Bioinformatics