Jorge Ignacio Martinez Palomera
Affiliation: Bay Area Environmental Research Institute
Email: jorge.i.martinezpalomera@nasa.gov , palomera@baeri.org
Title: Research Scientist
Professional Biography
I am a research scientist at The Bay Area Environmental Research Institute, NASA Ames, where I work with the Space Science Data Lab developing tools to mine the archival data from Kepler and K2 missions. Previously I was a postdoctoral researcher at the Astronomy Department of the University of California at Berkeley. Where I was a member of Prof. Josh Bloom’s Lab advocated applying Machine Learning (ML) tools to astronomical challenges. I finished my Doctoral degree in Astronomy in 2018 at the University of Chile, where I worked in automatic ML classification of variable sources and conducted a search for Intermediate-Mass Black Holes.
Education
Ph.D. Astronomy, 2018. Universidad de Chile.
B.Sc. Astronomy, 2014. Universidad de Chile.
Research Interests
Time domain astronomy.
Transients and Variable sources.
Intermediate Mass Black Holes.
Light Curve analysis.
Machine Learning and Deep Learning.
Applications of Deep Generative Models in Astrophysics.
Automatic classifications of time series.
Exoplanet candidates from transit method.
Selected Publications
- Martinez-Palomera, J., Bloom, J., and Abrahams, E., 2020, AJ, submitted, arXiv:2005.07773. Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters.
- Martinez-Palomera, J., Lira, P., Bhalla-Ladd, I., Forster, F., Plotkin, R. M., Introducing the Search for Intermediate-mass Black-hole In Nearby Galaxies (SIBLING) Survey, 2020, ApJ, 889, 2.
- Martinez-Palomera, J., Forster, F., Protopapas, …, The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs, 2018, AJ, 156, 186.