Analytics faculty

Russell Albright
Ph.D., Clemson University

Dr. Russ AlbrightDr. Albright is a research statistician developer at SAS Institute where he has been a key contributor to the development of the SAS Enterprise Miner/Text Miner product. His experience includes algorithm development for matrix factorizations, collocation detection, and large-scale inverted index manipulation. Recently, he has made contributions to a massively parallel, gridded approach to mining big data. Albright also has authored several applied papers on using SAS Enterprise Miner/Text Miner in the business setting. The publications have focused on both supervised learning—including such topics as building predictive models for topic categorization and sentiment classification—and unsupervised learning, such as web page clustering and topic discovery.


Thomas Tiahrt
Ph.D., University of South Dakota

Dr. Thomas TiahrtDr. Tiahrt is the analytics program director and an assistant professor of computer science at Northwestern College. As a practitioner, he developed Mata Hari/Lexibot meta-search inverted index subsystem and developed innovations in set-based Boolean evaluation, efficient distributed results aggregation, document similarity, document differentiation and document summary generation. Tiahrt wrote the full-featured SQSTR text engine and integrated it into a dynamic text categorization system, with placement based on natural language criteria instead of a controlled vocabulary. His work has also included incorporating the Lucene open-source indexing system into a bioinformatics system, modeling text by reading sophistication level and efficiently intersecting ordinal sets. 


Mike Wallinga
Ph.D. candidate, University of South Dakota

Professor Mike WallingaProfessor Wallinga is the director of institutional research at Northwestern College, where he analyzes the college’s data using the R and SQL programming languages, SPSS, Excel, and other tools. He teaches in Northwestern's math and computer science departments and is completing his doctorate with a dissertation that involves applying interval analysis to neural networks. Wallinga has industry experience as a database programmer and systems analyst, with a  focus on data analysis, visualization, and dashboard development.