About me

Hi,

My name is Lucas Bignone. I am currently a CONICET researcher at the Instituto de Astronomía y Física del Espacio (IAFE) in Buenos Aires, Argentina. Our group focuses on using numerical simulations to study the formation and evolution of galaxies. I am also very interested in machine learning and deep learning techniques, specially applied to examining the morphologies of galaxies.

At the moment, I am working on several projects implementing supervised and unsupervised deep learning methods to study the shapes of galaxies and their morphological components.

Previously, I was a FONDECYT postdoctoral fellow at Andrés Bello University in Santiago de Chile, where I worked with Patricia Tissera on numerical simulations of galaxy formation.

In 2018 I spent several months at the University of Groningen, The Netherlands, where I worked with Amina Helmi’s group on finding Gaia-Enceladus type mergers in simulated Milky Way analogues.

I obtained my Ph.D. in Physics at the University of Buenos Aires in 2017 working with Patricia Tissera and Leonardo Pellizza on the properties of long gamma ray bursts and their host galaxies.

I obtained my Master’s degree in Physics at the University of Buenos Aires in 2011 working with Leonardo Pelliza and Andrés Piatti studying formation mechanisms of Milky Way open clusters.

In 2017, I taught a numerical astrophysics course for astronomy Master students at Andres Bello Univeristy. Until 2017, I also taught an introductory astronomy course for high school students at the astronomical observatory of the Colegio Nacional de Buenos Aires.