James Carzon’s home page
I’m James, a PhD student in the Department of Statistics and Data Science at Carnegie Mellon University. At CMU, I am a member of the STAtistical Methods for the Physical Sciences (STAMPS) Research Center. I am fortunate to be advised by Ann B. Lee.
I work on likelihood-free inference (LFI) methodology motivated by the physical sciences, including astrophysics, high energy physics, and environmental science. Many scientific problems can be posed as a task of recovering the hidden parameters of a forward-evaluable process (e.g., an observational experiment, a simulator). My research focuses on recovering parameters while providing guarantees needed for scientific inference to be both trustworthy and practical, often with the help of modern machine learning. Before joining CMU, I obtained my BS in mathematics and BA in philosophy at the University of Michigan – Dearborn.
