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MIGUEL ANGEL REYES CORTESMIGUEL ANGEL REYES CORTES
MIGUEL ANGEL REYES CORTES

Degrees:
Doctorado en Estadística e Investigación Operativa, Universidade Da Coruña.
Maestría en Técnicas Estadísticas, Universidad de Santiago de Compostela .
Maestría en Demografía, El Colegio de la Frontera Norte.
Licenciatura en Física, Benemérita Universidad Autónoma de Puebla .

MIEMBRO DEL SISTEMA NACIONAL DE INVESTIGADORES (SNI) Nivel 1

Areas of interest:
density, regression, nonparametrics, patterns, applications
Miguel Ángel Reyes Cortés is a PhD in Statistics and Operational Research from the University of La Coruña (UDC, Spain). He also holds a masters degree in Statistical Techniques from the University of Santiago de Compostela (USC, Spain), a masters degree in Demography from El Colegio de la Frontera Norte (COLEF, Mexico), and a bachelors degree in Physics from the Meritorious Autonomous University of Puebla (BUAP, Mexico).

He completed a postdoctoral stay at the Center for Research in Mathematics (CIMAT, Mexico), where he worked on issues related to compositional data and functional regression. He has served as a research assistant and associate professor of Statistics and Population Projections at El COLEF.

His research interests are diverse. He has collaborated on projects applying novel statistical techniques in biological and agroecological sciences, as well as population studies related to migration and population aging. His main research focus is on nonparametric estimation of curves. He is currently a member of the National System of Researchers (SNI) level 1.

He considers himself a pragmatic teacher who likes to link theory with practice and real-life situations. He is always open to questions and academic debates in the classroom, treating his students with closeness, simplicity, and respect, within the framework of the course rules and agreements. He enjoys interacting with students and finding ways to make himself understood and keep up to date.

Since 2018, he has been a full-time professor at the Department of Actuarial Science, Physics, and Mathematics (School of Sciences), where he also serves as the coordinator of the Data Science degree at the Universidad de las Américas Puebla.
  

 
 

Producción de investigación
Sección 
 
Año




Formación de recursos humanos, tesis dirigidas

2022
Detección de patrones de mortalidad con el método de Lee-Carter y algoritmos de aglomeración en América Latina, en el periodo 1950-2000,



Congresos Nacionales

2023
Mimebro del comité organizador, Tipo de participación: Organizador Nombre del congreso: 1er Encuentro Nacional de Ciencia de Datos

2023
Participante de la mesa redonda No. 2: Educación, Tipo de participación: Conferencista Invitado Presencial Nombre del congreso: 1er Encuentro Nacional de Ciencia de Datos



Artículos de investigación

2020
Morphological Diversity and Genetic Relationships in Pulque Production Agaves in Tlaxcala, Mexico, by Means of Unsupervised Learning and Gene Sequencing Analysis, Nombre de la revista: Frontiers in Plant Science, Volumen: , Número: , Páginas: , DOI: https://doi.org/10.3389/fpls.2020.524812, ISSN: 1664462X

2020
Neither ant dominance nor abundance explain ant-plant network structure in Mexican temperate forests, Nombre de la revista: PeerJ, Volumen: , Número: , Páginas: , DOI: 10.7717/peerj.10435, ISSN: 21678359

2020
Morphological Diversity and Genetic Relationships in Pulque Production Agaves in Tlaxcala, Mexico, by Means of Unsupervised Learning and Gene Sequencing Analysis., Nombre de la revista: Frontiers in Plant Science, Volumen: , Número: , Páginas: , DOI: https://doi.org/10.3389/fpls.2020.524812, ISSN: 1664462X

2019
Kernel distribution estimation for grouped data, Nombre de la revista: SORT, Volumen: 2, Número: 43, Páginas: , DOI: 10.2436/20.8080.02.88, ISSN: 16962281, 20138830

2019
Analysis of interval-grouped data in weed science: The binnednp Rcpp package, Nombre de la revista: Ecology and Evolution, Volumen: , Número: , Páginas: , DOI: 10.1002/ece3.5448 , ISSN: 20457758

 
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