Christian Haas

Christian Haas, Ph.D., is an Associate Professor in the Department of Information Systems and Quantitative Analysis at the University of Nebraska at Omaha's College of Information Science & Technology. Previously, he served as Assistant Professor of Business Analytics at Vienna University of Economics and Business (WU) and worked as a Senior Data Scientist at IBM. He holds Master's degrees in Computer Science from Georgia Institute of Technology and Computational Economics from Karlsruhe Institute of Technology, along with a Ph.D. in Computational Economics from Karlsruhe Institute of Technology.

• Teaching: Introductory and advanced Data Science, Machine Learning, Big Data Analytics, and Simulation
• Research Focus: Data-driven decision making, algorithmic fairness, explainable AI, evolutionary optimization, and computational economics

His publications span topics including fairness frameworks in machine learning, bias mitigation in prediction systems, and energy economics modeling. Recent work examines trade-offs in algorithmic fairness and applications of sentiment analysis to oil price prediction.