Assist. Prof. Dr. Ata Jameei Osgouei | Management and Accounting | Best Researcher Award
Fairfield University, United States
Assist. Prof. Dr. Ata Jameei Osgouei is a distinguished academic in the field of marketing analytics and consumer behavior, currently serving as Assistant Professor of Marketing at Fairfield University, Dolan School of Business, USA. He earned his Ph.D. in Marketing from The University of Texas at Dallas in 2024, following his MBA and B.Sc. in Electrical Engineering from Sharif University of Technology, equipping him with a strong interdisciplinary foundation that bridges engineering, business, and advanced quantitative research. His professional experience includes serving as a Lecturer, Research, and Teaching Assistant at the University of Texas at Dallas from 2017 to 2024, where he taught courses such as Principles of Marketing, Marketing Research, and Database Marketing before joining Fairfield University, where he currently teaches Marketing Analytics, Marketing Research, and Principles of Marketing at both graduate and undergraduate levels. His research interests focus on observational learning, consumer learning, online marketplaces, and financial markets, with methodological expertise in quantitative marketing, structural and statistical modeling, causal inference, Bayesian methods, hidden Markov models, and machine learning. Dr. Jameei’s research contributions include publications in leading journals such as Marketing Science, along with multiple working papers and projects exploring consumer herding, credit card risk prediction, and novel business incubation models, which collectively demonstrate his ability to integrate theory with impactful applications. He has presented his work at prestigious conferences including ACME, MDC, and INFORMS, and is actively engaged in academic service through committees at the Dolan School of Business. His numerous awards and honors include the Dolan Summer Research Grant (2025), Dean’s Excellence Scholarship (2022–2023), and fellowships at the Marketing Science Doctoral Consortium and UH Doctoral Symposium, reflecting both academic excellence and global recognition. With a strong skillset spanning Python, R, MATLAB, SAS, and advanced econometric methods, Dr. Jameei exemplifies the new generation of marketing scholars whose research bridges digital consumer insights with data-driven decision-making. His trajectory highlights not only his dedication to scholarship but also his potential to lead future innovations in marketing science, making him a valuable contributor to academia, industry, and society.
Profile: ORCID | Google Scholar
Featured Publications
- Jameei Osgouei, A., Ching, A. T., Ratchford, B. T., & Shahrokhi Tehrani, S. (2025). Estimating position and social influence effects in online search. Marketing Science.
- Jameei Osgouei, A., Ching, A. T., Ratchford, B. T., & Shahrokhi Tehrani, S. (2023). Estimating position and social influence effects in online search: An empirical generalized Weitzman model.