My interestes lie in supernovae as distance indicators (cosmology), the physics of supernovae (such as explosion mechanism and progenitors), and other stellar transients in general (e.g., kilonovae, tidal disruption events, etc.). I am also interested in machine learning and coding in Python.
Currently, I am a postdoctoral researcher at the Institute of Space Sciences (ICE-CSIC) in Barcelona, Spain. At the moment, my work focuses on using type Ia supernovae with near-infrared data to test the current standard cosmological model as part of the HostFlows project and exploring alternative methods with type II supernovae for cosmology.
For more information, check my CV.
PhD in Astronomy, 2021
University of Southampton
MSc in Astrophysics, 2017
Pontificia Universidad Católica de Chile
BSc in Astronomy, 2015
Universidad de Chile
Advance coding with Python (pandas, astropy, scikit-learn, etc.) including open-source software development and JOSS referee
Experience with different data-analysis and statistical tools (e.g., Bayesian analysis)
Experience with different Linux distros
Machine and deep learning for regression, outlier detection, classification, etc. Former LSSTC Data Science Fellow
Spanish (native), English (fluent), French (basic) and Catalan (basic)
I love playing the drums, it is one of my hobbies. Checkout my band Time Illusions!