My main research interests are the application of machine learning and advanced statistical methodologies to astrophysical problems, particularly the variability of quasars and other stochastic time series. This is in part to deal with the unprecedented volumes of data that 21st century astronomy is generating but also to expand our ability to work with complex systems of information beyond simple correlations.
A new project I am involved with is the NSF-funded HDR Institute for Accelerated AI Algorithms for Data-Driven Discovery (A3D3) which aims to provide real-time AI at scale in high energy physics, multimessenger astronomy, and neuroscience.