I am a data scientist, educator, and consultant with a strong background in computational science and extensive experience in both industry and academia. I hold a Ph.D. in Computational Science from Florida State University and have expertise in developing advanced algorithms for both business and science applications. Some areas of my work include recommender systems and personalizations, shape analysis and computer visualization.
My industry experience includes a former Data Scientist role at Lowe’s and my current freelance consulting work. As a consultant, I help companies optimize business operations. In my most recent project, I developed algorithms that identify frequently purchased item groups, increasing sales by targeting customers interested in specific product subgroups.
In addition to my industry work, I serve as an Associate Teaching Professor and Assistant Area Director at the University of Kansas, where I teach graduate- and undergraduate-level courses in business analytics. The main topics of my courses are machine learning with structured and unstructured data sets, data visualization and visual analysis with Tableau and Power BI and recommender systems.
My research has been published in top academic journals, and I have been recognized with multiple teaching awards, including the MS BSAN Outstanding Educator award (2022, 2024) and the Robert and Codie Iorio Business Faculty Award for Teaching Excellence (2023).
“Property Rights Institutions, Foreign Investment, and the Valuation of U.S. MNCs”, with Leming Lin, Atanas Mihov, and Leandro Sanz, 2019, Journal of Financial Economics.
“A Study on the Asymmetry of the Human Left and Right Pubic Symphyseal Surfaces Using High-Definition Data Capture and Computational Shape Methods,” with Bridget Algee-Hewitt, Jieun Kim, and Dennis Slice, 2018, Journal of Forensic Sciences.
“Testing Reliability of the Computational Age-At-Death Estimation Methods between Five Observers Using Three-Dimensional Image Data of the Pubic Symphysis,” with Jieun Kim, Bridget Algee-Hewitt, and Dennis Slice, 2018, Journal of Forensic Sciences.
“A Computational Framework for Age-at-Death Estimation from the Skeleton: Surface and Outline Analysis of 3D Laser Scans of the Adult Pubic Symphysis,” with Bridget Algee-Hewitt, Jieun Kim, and Dennis Slice, 2017, Journal of Forensic Sciences.
“An enhanced computational method for age-at-death estimation based on the pubic symphysis using 3D laser scans and thin plate splines,” with Bridget Algee-Hewitt and Dennis Slice, 2015, American Journal of Physical Anthropology.