I’m a machine learning researcher working on probabilistic models that exploit structural properties, e.g. symmetries or decomposability, to allow efficient and exact computations while maintaining the capability to express complex relationships in data. Most of my work focuses on the intersection of sum-product networks and Bayesian nonparametrics. For details, see my website and my Google scholar profile.
In addition to my research on tractable models, I’m part of the open-source project Turing.jl.