My Research Philosophy
- Multidisciplinary thinking, willing to take seriously approaches from other research fields and to consider their particular theoretical/practical tools.
- Awareness of nature's complexity, in the sense that most natural phenomena involve uncertainty, emergency, structures, and relationality.
- Heuristics and frontier creativity are welcome, specially when step-by-step analytic algorithms and/or mathematical proofs are explanatory insufficient.
- Empathy through engagement with open knowledge, in order to reduce the cultural gap between developed and developing societies.
Gravitational-Wave Astrophysics
As consequence of the first detection of gravitational waves by LIGO twin ground-based detectors, searching of faster and more efficient data analysis algorithms has become very relevant. I currently work in several data analysis projects to search and characterize gravitational waves emitted by core-collapse supernovae and compact binary coalescences. The main goal is to detect and estimate physical parameter of emitting sources. Techniques that I apply in this field are inferential statistics, image processing, and machine learning, among others.
Applied Machine Learning
Machine learning is the study and application of computer algorithms that automatically learn and improve from experience. Today, this innovative field is applied to diverse domains, with fascinating results. Collaborating with multidisciplinary teams, I currently apply these techniques in projects for social good, mainly security, and governmental affairs. Moreover, and motivated by specific applications for criminology and predictive policing, I have begun to research about the ethical implications of ML algorithms in social domains.
Science and Religion
In this Epoch of Secularization, academic dialogue between science and religion is not only interesting, but also ethically necessary for encouraging critical thinking. In this field, I am interested in to elucidate how to rethink traditional Christian understanding of God and Nature, in context of natural sciences, technology, and Process-Relational philosophical theologies. Moreover, from a sociological and historical point of view, I am particularly interested in to understand how religious and scientific endeavors are culturally related in Latin American.
Open Educational Publishing
As 100% applied task, I am interested in to build bridges between scholarly thinking and society, through digitally open and educational publishing. This is much more than just give information, since it requires robust models to translate concepts between two different domains. I am increasingly enthusiastic about open knowledge movement, including open data, open source codes, open peer review, and open access publications, among others.
Numerical Relativity (past research)
During my M.Sc. and Ph.D. studies I researched about strong gravity and numerical methods. My work in numerical relativity involved computer simulations of compact objects as black holes and compact stars, by numerically solving the Einstein Field Equations. These equations involved differential geometry and are the basis of all modern studies of gravitation.