Susana Eyheramendy

Professor at the Faculty of Engineering and Sciences of the Adolfo Ibáñez University, PhD in Statistics from Rutgers University, United States, 2004. She is currently in charge of the astro-statistics group at UAI, as an associate member of Millennium Institute Astrophysics. Her research is based on the modeling, analysis, and interpretation of large databases, especially in the areas of astronomy and genetics. In the latter field, her emphasis is on trying to understand the genetic basis of common diseases using novel statistical methods. Recently, she has also focused on the study of the population genetics of Chileans. She is currently studying the genetic basis of growth and BMI development in children from the GOCS cohort. In the area of astro-statistics, she has worked on the classification of variable stars and other astronomical objects using machine learning techniques. Susana is a member of the scientific committee of Alerce (website: alerce.science). ALeRCE is a Chilean-led pipeline that is processing the ZTF alert stream and aims to become a community pipeline for the Vera C. Rubin Observatory, as well as other large telescopes. Cloud Infrastructure and Machine Learning models are being used to bring real-time processed products and services to the astronomical community. Part of Susana's research in this area is dedicated to the development of models for irregularly observed time series, to be implemented in ALerce.