Astronomy and Cosmology
Computational Tools for Data Science, Machine Learning

Camille Avestruz

Assistant Professor


Prof. Avestruz is a computational cosmologist leading the ALCCA (Avestruz Lab for Computational Cosmology and Astrophysics) research group. Her research group uses simulations to model, predict, and interpret observed large-scale cosmic structures. Her primary focus is to understand the evolution of galaxy clusters. These are the most massive gravitationally collapsed structures in our universe, comprised of hundreds to thousands of galaxies. Other aspects of her work prepare for the next decade of observations, which will produce unprecedented volumes of data. With the Rubin Observatory’s Legacy Survey of Space and Time, Avestruz’ group is leading software development efforts within the Dark Energy Science Collaboration including applications of machine learning in cosmology.