Meet the team

Paul Anderson

Dr. Anderson directs the Data Science Research Group at Cal Poly where his team specializes in developing and applying data mining, machine learning, and artificial intelligence to the fields of bioinformatics, genomics, biomedical informatics, and metabolomics. Dr. Anderson’s lab is interested in the foundations of data science with a current focus on machine learning, explainable ranking algorithms, and the rankability of data (https://anderson-data-science.com/).

Amy Langville

Amy is a Professor of Mathematics at the College of Charleston. Her main research areas are ranking and clustering. She has written two books on these topics. She is also consults with companies on their problems in ranking, search, optimization, and data science.

Kathryn Pedings-Behling

Kathryn's background is in math education. She has taught everything from Algebra 1 to college-level statistics and calculus since 2008. She has been involved in distance education since 2013. Kathryn and Amy began performing research together in 2008. Their passion has always been in ranking and now the rankability problem. Kathryn works at the College of Charleston and raises three cute kids in Charleston, SC.

Brandon Tat

Brandon is a fourth year computer science student at Cal Poly, San Luis Obispo. His prior research involves looking at bias in academia through data analysis. He is now working on understanding bias in ranking.

Charlie Ward

Charlie is a computer science and data science student at Cal Poly, San Luis Obispo. His prior work includes software development for a data analytics application supporting rocket launch verification and testing as well as social trends predictive research. He is thrilled to be working on the rankability problem with these colleagues.