A. M. Pérez García

PhD on bayesian analysis of infrared spectral energy distribution of a sample of local Seyfert galaxies with satellite data (U. de La Laguna, 1998). Member of the core team of the OTELO survey (Osiris Tunable Filters Emission Line Objects Survey). This collaboration has produced more than 10 papers (from 2019). I am main author (i.e: within the 3 first authors) in 6 of them. (2003-now) Member of the core team of Lockman-Spresso survey: A GTC spectroscopic survey in the Lockman hole. After data acquisition, this collaboration is in its earliest stages of scientific analysis, 1 paper accepted. I am main author (i.e: within the 5 first authors) (2017-now) Member of the core team of GLACE (a study of star formation evolution in galaxy clusters 2011-2015) and EDGES (a search for low surface brightness objects at intermediate redshifts, 2017-now). Member of the PEP (PACS Evolutionary Probe with infrared data) collaboration. (2010-2015). 18 refered papers. Supervision of 3 PhD thesis (2 of them about AGNs). Supervision of 8 TFMs. Supervision of 3 interships. Now, supervising 2 PhD. Among other scientific and professional experience, the most relevant items are:Wide experience in data processing of observational data from space-born satellites as HST and Gaia (optical), ISO, Herschel and Spitzer (infrared), XMM-Newton and Chandra (X-ray). Observational experience acquired as guest observer in 1000+ hours worth of successful proposals in ground based telescopes such as GTC, WHT, INT, Kit Peak etc. Support Astronomer at Observatorio del Roque de los Muchachos for 3 years (1998-2001). Member of the OSIRIS Instrument Team (first light instrument of GTC). Active role in its design, building, commissioning and calibration (2003-2008). Scientist at the Infrared Point Source Catalogue of Herschel Data project. Processing of the data of the whole Herschel mission (European Space Agency) to produce the comprehensive infrared source catalogue.2016-2018. Analysis of runaway stars in globular clusters from the Gaia catalogue (European Space Agency), applying machine-learning methodologies to characterize each cluster through proper motion and parallax and select candidates by velocity and trajectory. 2018-2019. Calibration scientist for the European Space Agency as Telespazio-Vega contractor, working with raw data (Level 1) from several space-born observatories. 2020. Science lead of "Substellar Candidates in Early Stages Objects" (SUCANES). A project to compile and process photometric data of substellar objects, from infrared to centrimetric data, obtaining derived quantities. The resulting database and complementary statistical analysistools are meant to be provided to the community through a web interface. 2020-2022. Science lead of "JWST and synergies: comprehensive taxonomy of planetary systems"