I am a research scientist in the School of Information at the University of Arizona. Broadly speaking, I am interested in machine learning and artificial intelligence. In particular, I am interested in Bayesian generative approaches to inference problems.
I am currently working on the automated assembly of executable causal models for complex systems from textual evidence, as part of DARPA’s Big Mechanism and World Modelers programs.
I am a co-PI on the AutoMATES project and the primary developer of Delphi, a framework to automatically assemble causal, probabilistic model from machine reading of textual evidence and formal analysis of source code structure.
Some of the courses I have taught in the past:
I also write about physics, programming, productivity and other random stuff sometimes. You can find my previous posts here.