Professor Mousavi has expertise in artificial intelligence (AI) and business analytics. His research topics are related to the societal impacts and economics of social media, AI and business analytics, user-generated content, and healthcare information systems. He uses machine learning, deep learning, and natural language processing (NLP), along with econometrics, to identify quasi-experimental settings and study the underlying relationships among the constructs of interest. Professor Mousavi’s work has appeared in Information Systems Research; Journal of Management Information Systems; and Journal of the Association for Information Systems. 

In the classroom, Professor Mousavi is dedicated to cultivating the next generation of thinkers and innovators. He has taught advanced AI and business analytics, research methods, and computer programming at the undergraduate, graduate, and doctorate levels. Professor Mousavi has worked with leading consulting firms on a variety of data science projects. He was also Lead Data Scientist at State Farm Insurance Co. before joining academia. With a commitment to advancing knowledge and fostering innovation, Professor Mousavi is passionate about conducting research on how technology shapes our world and preparing students to navigate its complexities.