734-763-0214

Applications:
Business Analytics, Economics, Education, Epidemiology, Finance Research, Information Systems, Management Science, Mobile Devices, Operations Research, Social Sciences
Methodologies:
Causal Inference, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Statistical Inference

Jim Omartian

Assistant Professor of Accounting

Ross School of Business

My research explores the interplay between corporate decisions and employee actions. I currently use anonymized mobile device data to observe individual behaviors, and employ both unsupervised and supervised machine learning techniques.