Titles(s):

• PH. D. Principle Investigator
• CONACyT Chair Research

Bio:

Yaxk’in Coronado is a data-scientist and obtained a bachelor’s degree in Physics from National Autonomous University of Mexico (UNAM), a Ph. D. from UNAM in Astrophysics (2015) , and a M. S. from Astronomy Institute (2010). My interest in data science start with hydrodynamic models applied to black holes, searching a connection between the observational and theoretical models in astrophysical jets. The mathematical models developed has an huge area of applications in particular for social models due to their complexity and possible new description from the data.

The interest of statistical models and computational applications modelling of physical systems and the socio-physics area for complex systems, lead to a research of optimal management of the resources in urban an rural communities, through statistical methods in the social sciences.

At the postgraduate level, he has taught courses on multivariate analysis methods and performed teaching work at UNAM in Faculty of Sciences, private universities, in areas of physics, computing and programming and recently investigation seminars at CIAD.

Degrees:

PHD in Astrophysics, UNAM, 2015

Research:
My current research is focused on statistic social models applied in the context of complexity systems, to rural communities and their interaction with the economic, social organization and environmental media.

Many of the projects that I participate are focus in the sustainable development of rural communities in the Hidalgo State, with an integral vision of the data from the official channels and primary data obtained from the peasants or producers in agricultural activities, searching through statistical models and tools like machine learning and deep learning available options for the territorial development.

The projects also take in account the agrobiotecnology systems in a schema of complexity sciences, collaborating with the Complexity Sciences Center (C3), to build an interaction network using a Bayesian approach in the Species platform of the C3-LNCC-CONABIO.

The models developed use different tools from the data mining, machine learning algorithms and deep learning methods from identification and classification of patterns, statistical Bayesian models and geographic information system.

Selected Publications:

• J.I. Cabrera Y. Coronado, E. Benítez, S. Mendoza, D. Hiriart, M. Sorcia., “A hydrodynamical model for FERMI-LAT gamma-ray light curve of Blazar PKS 1510-089”, Monthly Notices of the Royal Astronomical Society, Jun. 2013, https://doi.org/10.1093/mnrasl/slt063
• Y. Coronado, S. Mendoza., “Hydrodynamics associated to the X-ray light curve of A062-00”, Astrophysics and Space Science, Dic. 2015, https://doi.org/10.1007/s10509-015-2550-x
• Y. Coronado, O. López-Corona S. Mendoza, “Understanding the light curves of the HST-1 knot in M87 with internal relativistic shock waves along its jet ” Monthly Notices of the Royal Astronomical Society, Apr. 2016, https://doi.org/10.1093/mnras/stw1624
• Leyva, D.; De la Torre, M.; Coronado, Y. Sustainability of the Agricultural Systems of Indigenous People in Hidalgo, Mexico. Sustainability 2021, 13, 8075. https://doi.org/10.3390/su13148075
• Coronado, Y., Navarro, R., Mosqueda, C. et al. SARS-CoV-2 in wastewater from Mexico City used for irrigation in the Mezquital Valley: quantification and modeling of geographic dispersion. Environmental Management (2021). https://doi.org/10.1007/s00267-021-01516-4