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Affiliate Faculty

Dale Bowman, Ph.D. is an Associate Professor in statistics. She will be teaching the core and elective statistics courses.

Su Chen, Ph.D. is an Assistant Professor in statistics. She will be teaching the core and elective statistics courses.

Bernie J. Daigle, Jr., Ph.D. is an Assistant Professor in Biological Sciences and Computer Science. He will be teaching bioinformatics and biological data science courses.

Lih-Yuan Deng, Ph.D. is a Professor in statistics and Graduate Coordinator of Statistics. He will be teaching the core and elective statistics courses.

E. Olusegun George, Ph.D. is a Professor in statistics and has been teaching statistics at the University for more than 30 years. He will be teaching core and elective statistics courses.

Andrew J. Hussey, Ph.D. is a George Johnson Associate Professor in Economics. His current research interests include labor economics, income inequality, gender gaps, and program evaluation. He will be teaching Econometrics II (Panel and limited dependent variables methods, inter alia) as a part of the Economics cluster.

Mark L. Gillenson, Ph.D. CCP, is a Professor of Business Information and Technology in the Fogelman College of Business and Economics at the University of Memphis. His teaching and research interests are in data and database management, data analytics, agile software development, and software testing. His industrial background includes 15 years with the IBM Corp. Dr. Gillenson is a Senior Editor of ACM’s The Data Base for Advances in Information Systems and is an Associate Editor of the Journal of Database Management. His latest book is Fundamentals of Database Management Systems 2nd edition, 2012, John Wiley & Sons.

David Kemme, Ph.D. is a Professor and William N. Morris Chair of Excellence in the Department of Economics. His current research interests are macroeconometric modelling, forecasting, and applications of time series analysis in financial markets. He will be teaching Econometrics III (Times Series Analysis) as part of the Economics cluster.

Joonhyung Lee, Ph.D. is an Associate Professor in Economics. His current research interests are international trade, multinational corporations, and trade policy. He will be teaching Econometrics (Fundamentals of Econometrics).

Phillip Pavlik, Ph.D. is an Associate Professor in the department of Psychology at the Institute for Intelligent Systems at The University of Memphis. His interests are in the area of data-driven cognitive modelling. He will be teaching the Advanced Statistics for Psychology I course.

Vinhthuy Phan, Ph.D. is an Associate Professor in Computer Science at The University of Memphis. His recent work focuses on the analysis of microarray data, the design of synthetic genes, and the construction of large DNA sets suitable for large-scale DNA-based computing. At the University of Memphis, Dr. Phan has taught a variety of courses focusing on the design and analysis of algorithms and their applications to the fields of bioinformatics and bio-computing. In particular, he has taught the Algorithms in Computational Biology and Bioinformatics courses.

George Relyea, MS, is an Associate Research Professor in Public Health. He has taught statistics/biostatistics courses at the University for more than 20 years and has rich experience in teaching. Professor Relyea will be teaching biostatistics core courses. He is a full graduate faculty and is qualified to advise MS biostatistics students. He has developed many applied statistics courses and teaches advanced statistical modeling.

Vasile Rus, Ph.D. is a Professor in Computer Science with a joint appointment in the Institute for Intelligent Systems at The University of Memphis. He has introduced the Machine Learning course at The University of Memphis and is teaching related courses such as Artificial Intelligence and Information Retrieval. His strength in extraction from unstructured data sources and developing machine learning models based on such data will benefit the new MS in DS program greatly. He has been PI, co-PI, and Senior Researchers on federally funded grants worth more than $20 million.

Fatih Sen, Ph.D. is an instructor in the department of Computer Science at The University of Memphis where he teaches courses on databases and data mining primarily. His research interests are on data management and maintenance, data mining, big data, and machine learning.

Deepak Venugopal, Ph.D. is an Assistant Professor in the Department of Computer Science. He commonly teaches the Machine Learning course, which is one the core courses in Data Science.

Srikar Velichety, Ph.D.  is an Assistant Professor of Business Information and Technology at the Fogelman College of Business and Economics at the University of Memphis. He has taught several graduate and undergraduate courses in Business Analytics, Business Intelligence, Statistics and Machine Learning at the University of Memphis. His strength is in combining multiple types of datasets including text, imaging, temporal and numeric data to build high accuracy prediction models and hence will directly benefit the new MS in DS program. He has also published related work in top journals including JMIS.

Hongmei Zhang, Ph.D. is a Professor in Biostatistics and is the Division Director. She is also the Program Coordinator of Biostatistics. Dr. Zhang is a full graduate faculty member and is qualified to advise graduate students. She is the recipient of several NIH research grants for her collaborative work in cancer and allergic disease studies, and for her statistical methodology development in variable selection, joint clustering, and Bayesian network.

Xiaofei Zhang, Ph.D. is an Assistant Professor in Computer Science at The University of Memphis. He is interested in developing new algorithms and toolkits for time efficient and scalable data management. He has taught courses related to databases and big data computing.