Oleg Gnedin

Professor, Astronomy


I am a theoretical astrophysicist studying the origins and structure of galaxies in the universe.  My research focuses on developing more realistic gasdynamics simulations, starting with the initial conditions that are well constrained by observations, and advancing them in time with high spatial resolution using adaptive mesh refinement.  I use machine-learning techniques to compare simulation predictions with observational data.  Such comparison leads to insights about the underlying physics that governs the formation of stars and galaxies.  I have developed a Computational Astrophysics course that teaches practical application of modern  techniques for big-data analysis and model fitting.

Research Areas

Astronomy; Geospace and Atmospheric Science
Data Processing; Integration; Mining and Visualization
Machine Learning
Materials: Calculations; Simulations and Modeling