Rate My Professor Jim Kulich

James “Jim” Kulich, Ph.D., serves as adjunct faculty and professor of mathematics in the Department of Computer Science and Information Systems at Elmhurst University, where he is the Founding Director of the M.S. in Data Science and Analytics program. He earned his Ph.D. in mathematics from Northwestern University. Kulich possesses extensive experience in applying quantitative methods and analytical tools to generate actionable information from diverse data sources, mastering the full range of modern statistical and data modeling methods. His research interests encompass business intelligence, business analytics, information technology, information analysis, and business process engineering. Kulich maintains a blog titled “Unlimited Data,” featuring contributions on topics such as artificial intelligence impacts on careers, machine learning operations, data visualization resources, ethical considerations in AI, and generative AI applications like ChatGPT.

Prior to his current roles, Kulich was Vice President and Chief Information Officer at Elmhurst College from 1987 to 2016, overseeing information technology strategies, institutional research, and initiatives like small-scale IT projects yielding significant value. He co-authored the publication “Burden in the Eye of the Beholder: Why Should Administration Care?” in 2015, alongside earlier mathematical works including “A quotient of the iterated Singer construction” (1989) and “The Action of the Dickson Invariants on Length n Steenrod Operations” (1987). Kulich has presented at Elmhurst College Mathematics Seminar Series on “Alhazen's Problem: Reflection in a Spherical Mirror” (1998) and “College Administration - A Mathematical Perspective” (2001), and delivered plenary talks such as at the 2025 Annual Meeting of the Illinois Section of the Mathematical Association of America. He has served on the Faculty Advisory Council of the Illinois Board of Higher Education and contributed to data books and conference sessions on analytics and institutional research.