Dr. Mitch Hill is an Assistant Professor and the Director of the Data Mining Lab in the Department of Statistics and Data Science at the University of Central Florida. He earned a Ph.D. in Statistics from the University of California, Los Angeles as well as a BS in Mathematics and BA in Statistics from the University of Chicago. His research focuses on statistical modeling of complex high-dimensional data (in particular natural images) using deep learning tools. Applications of his research include unsupervised clustering, synthesis of realistic images, and defense against adversarial perturbations for image classification systems.
Generative models for complex signals, high-dimensional unsupervised learning, energy landscape mapping, adversarial attacks and defense, metastability and emergent behavior, Markov chain Monte Carlo, deep learning
- STA 6329 – Statistical Application of Matrix Algebra
- STA 6704 – Data Mining Methodology II
- STA 4364 – Statistical Foundations of Data Science and AI I
- ISC 4241 – Data Science I