Alexander G. Gray's Home Page

My work focuses on developing the new statistical and computational principles demanded by next-generation challenges in data analysis and autonomy. I develop new methods directly driven by, informed by, and validated by hard real problems, often by bridging technical intuitions or mathematical concepts from distant fields and perspectives. Two of the main challenges of modern computational science which keep me awake at night are massive datasets and various curses of dimensionality. I have been concerned with computational strategies for dealing with the fundamental summations, integrals, and maximizations at the root of a wide variety of statistics and machine learning methods. My most recent research, in progress, is about alternative statistical theory for certain old problems. A long-term target is to nail down enough powerful and general statistical and computational foundational primitives to achieve automatic data analysis and data-driven control, a bottom-up path to fully autonomous systems.