TBA
Presenter: Viviana Acquaviva (CUNY NYC College of Technology, Columbia University)
Title: TBA
Date/Time: TBA
Abstract: TBA
Biography: Viviana is a member of the faculty of the City University of New York. Her research considers the development of computational tools to determine information about galaxy properties, including star formation history, the attenuation of dust and stellar mass. She created GalMC, a Markov chain Monte Carlo algorithm, that could be used to infer age, metallicity and star formation rate from spectral energy distribution (SED) fitting. She was part of Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). She has shown that machine learning models can be used to understand the relationship between galaxy spectra and the histories of their star formation.
Viviana seeks to improve diversity within the astrophysics community. She has led training programs for people from groups historically marginalized from astrophysics, including people in correctional facilities.