Faculty Expert Profile

Tamás Budavári, an associate professor in the Department of Applied Mathematics and Statistics, is known for his studies in the intersection of observational astronomy and statistics with a focus on a large-scale structure, cosmology, and galaxy evolution. He holds a joint appointment in the Department of Physics and Astronomy and a secondary appointment in the Department of Computer Science.

Budavári's work centers on computational and statistical challenges of big data. His interests include Bayesian inference, low-dimensional embeddings, streaming algorithms, parallel processing on GPUs, scientific databases, and survey astronomy. His research has been used to understand the dynamics of vacant housing in Baltimore City, to extract high-resolution images of stars in the night sky using repeated exposures, and crossmatch astronomy catalogs.