Jesse Bowers is a PhD candidate in Statistics at University of Illinois at Urbana-Champaign.
He formerly worked as a data analyst in marketing for over four years designing and implementing a variety of projects. In business his areas of expertise and interest include relational databases, reporting, process improvement, predictive analytics, and programmed automation.
In academics, his areas of expertise and interest include latent variable modeling and machine learning. His advisor is Dr. Culpepper.
- Dependent Latent Class Models: https://arxiv.org/pdf/2205.08677.pdf