I'm currently an Associate Professor at the Computer Science Department from Universidad Católica de Chile and Research Assistant at the Institute of Applied Computational Science (IACS) from Harvard University. I´m also a researcher in the Millenium institute of Astrophysics (MAS). I received a Ph. D. degree in Computer Science from Universidad Católica in Chile, 2010. During 2011-2012, I did a postdoc in Machine Learning for Astronomy, at Harvard University. My main research areas are Data Science and Machine Learning for Astronomy, focusing in the development of several new tools for automatic classification of variable stars, detection of quasars, discovery of known objects, dealing with missing data, and meta classification, among others.
Research Interest: Data Mining, Machine Learning, Astro-Statistics and Astro-Informatics
email@example.com - firstname.lastname@example.org
Approximate Bayesian Inference
Probabilistic Graphical Models
Advanced Python Programming
Plenary talk at ACAT 2016
Harvard-Chile students exchange program started
Presentation at the Semantic Web Seminar
Our research is focused on Machine Learning and Statistics, mainly applied to the analysis of Astronomical data. I am working in collaboration with professor Pavlos Protopapas from the Institute of Applied Computational Science at Harvard University (http://iacs.seas.harvard.edu/). Our main interest is to develop automatic tools to classify objects in the Universe, based on information provided by telescopes. There are several important challenges to overcome, such as huge data processing algorithms, parallel programming, intelligent integration of expert models, missing data analysis, unsupervised representation, among others. Chile is one of the most attractive places to perform scientist research in Astronomy, given that most of the state of the art telescopes are installed in the North of the Country.