Detelina Stoyanova

Detelina Stoyanova is an Associate Teaching Professor and Assistant Area Director for Analytics, Information, and Operations at the University of Kansas School of Business. She specializes in computational science, data visualization, and 3D-scan data analysis. Her research focuses on age-at-death estimation using pubic symphysis scans and computational methods. Prior to KU, she worked as a senior data scientist at Lowe’s Companies Inc., developing algorithms for assortment optimization and recommender systems. Stoyanova holds a Ph.D. and M.S. in Computational Science from Florida State University and a B.S. in Mathematics and Computer Science from Ramapo College of New Jersey.

Her educational background includes roles at UNC Charlotte’s Department of Mathematics and Statistics. Her research articles from 2013–2019 emphasize interdisciplinary applications of computational methods in forensic anthropology, biomedical engineering, and international business. Key themes include 3D laser scanning techniques, algorithmic age estimation frameworks, and population variability studies. Though no explicit awards are listed, her work demonstrates expertise in both academic and industry data science contexts.

Stoyanova’s teaching includes courses like Foundations of Business Analytics and Data Visualization for the MS in Business Analytics program. Her work bridges computational science with practical business analytics, reflecting her dual experience in academia and corporate data science.