About Me

Education: I have a Physics degree from the University of Guanjuato and a Master's degree in Science (Astrophysics) from the Astronomy Department of the same University. I recently completed my PhD in Astrophysics. It took place in two different institutions: the Laboratoire d'Instumentation et de Recherche en Astrophysique (LIRA) at the Meudon site of Paris Observatory and the Max-Planck-Institut für Sonnensystemforschung (MPS) in Göttingen.

Research Interests: I am interested in exoplanet discovery and characterisation. My PhD work was focused on the use the so called double aperture photometry for correctly discarding false planetary transits for the PLATO space mission.

Current Interests: I am currently looking for data science opportunities in the industry. I am particularly interested in applying my skills in data analysis, machine learning, and statistical modeling to solve real-world problems. I am open to roles that allow me to leverage my expertise in Python, R, and SQL for data-driven decision-making. I am also interested in exploring my creative side through writing, wether it be blogs, poetry or fiction. I love journaling and reading

Publications: Here is an ADS link with all my (academic) publications so far!

Research

PLATO Double-aperture Photometry
Aperture photometry is vastly used in space telescopes as a way to extract transit light curves. For PLATO space mission, a lot of targets will have their light curves extracted on-board. However, using a single aperture is not enough to see if the produced light curve is actually planetary. Therefore, using a second aperture could be helpful to distinguish the nature of the light curves for a considerable part of PLATO target stars. My work during my PhD was devoted to testing this technique. I developed a simulator that creates realistic PLATO light curves with planetary transits and contaminant eclipsing binaries. Then, I applied several machine learning algorithms to classify the produced light curves. The results were very promising, showing that this technique. My PhD thesis can be found here.