Statistician and Associate Professor at the University of Florida
Research focuses on the interface between optimization and Bayesian methods
Aims to develop statistical and machine learning toolboxes that 'just work'—simple implementation, fast computation, and principled uncertainty quantification
Bridges strengths from Bayesian (probabilistic modeling) and optimization (efficient computing) communities
Research interests motivated by collaborative projects in neuroscience, engineering, and transportation science