Paul Horton

Ph.D. Student - Machine Learning


Contact

 ISyE Main 307
  Contact

Education

  • Ph.D. (Expected 2027), Georgia Institute of Technology
  • M.S. Analytics (2021), Georgia Institute of Technology
  • M.B.A. (2018), University of South Carolina
  • B.S. Chemical Engineering (2011), Auburn University

About

Paul is a 4th year Ph.D. student in Machine Learning, advised by Dr. Yajun Mei and Dr. David Goldsman. His current research focuses on resource-constrained decision making in healthcare, specifically with clinical trial designs, AI tools, diagnostic device evaluation, and uncertainty quantification. Paul has been recognized with the Graduate Teaching Fellowship, has served as a Graduate Student Instructor and Head Teaching Assistant, and received the Best Poster Award at the 2024 Georgia State Conference for Biostatistics and Bioinformatics. He also won the 2021 University of South Carolina Big Data in Health Science Competition. Before beginning his Ph.D., Paul worked in engineering, sales, and operations in industries including manufacturing and healthcare. He holds a B.S. in Chemical Engineering from Auburn University and his MBA from the University of South Carolina.