Joshua D. Loyal

I am an Assistant Professor in the Department of Statistics at Florida State University.

My research interests include statistical network analysis, Bayesian inference, machine learning, data science, and statistical computing.


I completed my Ph.D. in Statistics at the University of Illinois at Urbana-Champaign, advised by Professors Yuguo Chen and Ruoqing Zhu. I received an M.S. in Physics from Yale University and a B.S. in Physics and Mathematics from Duke University.

From 2015 to 2018, I was a Data Scientist at DataRobot, a start-up in Boston aimed at building an automated machine learning platform. During my physics career, I worked as a particle physicist as part of the ATLAS collaboration at the Large Hadron Collider in Geneva, Switzerland. There I performed large-scale data analytics and helped develop a Deep Learning framework for classifying subatomic-particle jets.