Saidat Abidemi Sanni, Ph.D.
Assistant Professor, Management Science and Statistics
Contact
- 4.04.26C
- saidat.sanni@utsa.edu
Bio
Dr. Sanni’s research is multidisciplinary and bridges business analytics, finance and information systems, focusing on developing machine learning and statistical models for high-dimensional data with application in asset pricing, healthcare and digital platforms. She has published in reputable journals and has papers currently under review and targeting premier journals in statistics, finance and information systems. Her work has been presented at conferences including the Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting, Financial Management Association (FMA) Annual Meeting and published in proceedings of Americas’ Conference on Information Systems (AMCIS). She also serves as reviewer for leading journals and conferences.
Dr. Sanni’s work has earned multiple awards including the 2024 University of Cincinnati CGS/ProQuest Distinguished Dissertation Award, the 2023 FMA Annual Meeting Best Paper Award Semi-Finalist and the 2023 Outstanding Doctoral Research Award from the University of Cincinnati. Her paper also received the Best Emerging Research Paper Award at the 2022 AMCIS.
Research Interests
- Ultra-high dimensional methods, dimension reduction and model uncertainty
- Machine learning algorithms, deep learning and text mining
- Empirical asset pricing
- Digital platforms, technology-mediated interactions and social inclusion
Degrees
- Ph.D. University of Cincinnati
- M.B.A Wilkes University
- B.S. Ladoke Akintola University of Technology
