Althouse Hall Room 104
Dr. Bilen's research focuses on incentives and their role on performance in competitive environments. His recent work analyzes data from high-stake chess tournaments dating back to the 1960s with millions of chess moves made by the world's most elite players. In his second line of research, he uses spatial data to answer questions ranging from natural disaster response to the effects of availability of grocery store chains and food delivery services on traffic congestion and health behavior. His research uses a combination of machine learning, web-scraping, data-processing, and geospatial analysis. Dr. Bilen enjoys teaching in both Python and R. He teaches data science and statistics courses, database systems, game theory, and capstone in data analytics.
COMP 180 Introduction to Data Science
Cross-listed with DATA 180-01 and MATH 180-01.
DATA 180 Introduction to Data Science
Cross-listed with COMP 180-01 and MATH 180-01.
MATH 180 Introduction to Data Science
Cross-listed with COMP 180-01 and DATA 180-01.
COMP 200 Data Syst for Data Analytics
Cross-listed with DATA 200-01.
DATA 200 Data Syst for Data Analytics
Cross-listed with COMP 200-01.
DATA 560 Stu/Faculty Collaborative Rsch
DATA 400 Data Analytics Capstone
Permission of Instructor Required.