From 2005 to 2015 I worked in various commercial projects at the software industry (with the exception of the year 2013 when I moved away from computers to work in the public administration).
After having received a six-year degree in Computer Science at the University of Buenos Aires in 2012, I returned in 2014 to the academic world as an assistant professor of the Operating Systems course. A year later, I decided to focus entirely on research and started my PhD at the University of Buenos Aires with a scolarship from CONICET (the National Scientific and Technical Research Council of Argentina).
My two main areas of interest are artificial inteligence and computational cogntive science, particularly probabilistic programming and it's application to learning. That's why I'm part of the Integrative Neuroscience Lab and the Applied Artificial Intelligence Lab.
On 2017, I visited for three months the Computational Cognitive Science group of Josh Tenenbaum at MIT, where I learned about the latest advances in computational cognitive modeling. On 2018, I was awarded with the Facebook Emerging Scholar Award.
The AAIL is an interdisciplinary environment, which combines different aspects from Computational Neuroscience, as complexity and randomness perception in humans, computational linguistics, data mining in big text corpus and source code, interactive dialogue systems, speech recognition and real-time analysis of brain signals.
The INL is an interdisciplinary group integrated by physicists, psychologists, biologists, engineers, educational and biotechnology scientists, linguists, mathematicians, artists and computer scientists.
The group has wide interests in neuroscience and experimental psychology. Over the last years we developed an empirical and theoretical approach to decision making, with special focus on the assemblage of unitary decisions into mental programs and understanding the construction of confidence and subjective beliefs. Many aspects of our investigation rely on data mining and computational tools on massive corpus of human behavior (text, decision making...). Several members of the group have over the last years developed lines of research to understand how current knowledge of the brain and the mind may serve to improve educational practice. Many of the projects conducted are developed at schools throughout the country and these investigations on cognitive development are being extended to hundreds of thousands of children through the One Laptop Per Child (OLPC) framework.