Verónica Bolón-Canedo

Verónica Bolón-Canedo (born 1984) is a Spanish computer scientist whose research concerns feature selection in machine learning, with applications including medical diagnosis, oil spill detection, and automated educational assessment.[1][2] She is a professor at the University of A Coruña.

In this Spanish name, the first or paternal surname is Bolón and the second or maternal family name is Canedo.

Education and career

Bolón-Canedo was born in Carballo in 1984.[1] She studied computer science at the nearby University of A Coruña, earning a bachelor's degree in 2009, a master's degree in 2010, and completing her Ph.D. in 2014.[3]

After postdoctoral research at the University of Manchester in the UK, she returned to the University of A Coruña as an assistant professor.[3] She later became a full professor there, in the Department of Computer Science and Information Technologies.[1]

Books

Bolón-Canedo is the author or editor of books including:

  • Feature Selection for High-Dimensional Data (with Noelia Sánchez-Maroño and Amparo Alonso Betanzos, Springer, 2015)
  • Recent Advances in Ensembles for Feature Selection (with Amparo Alonso Betanzos, Springer, 2018)
  • Microarray Bioinformatics (edited with Amparo Alonso Betanzos, Springer, 2019)

Recognition

Bolón-Canedo was elected to the Young Academy of Spain in 2020.[4] She was elected as a corresponding member of the Spanish Royal Academy of Sciences in 2022.[1][2]

References
  1. "Ilustrísima Señora Doña Verónica Bolón Canedo", Miembros de la Academia (in Spanish), Spanish Royal Academy of Sciences, retrieved 2023-04-01
  2. "Verónica Bolón, docente de la UDC, nombrada nueva Académica Correspondiente de la Real Academia de Ciencias Exactas, Físicas y Naturales de España", La Voz de Galicia, 10 November 2022, retrieved 2023-04-01
  3. "Verónica Bolón-Canedo", IEEE Xplore, IEEE, retrieved 2023-04-01
  4. "Verónica Bolón Canedo", Académicas de la Academia Joven de España (in Spanish), Fundación Española para la Ciencia y la Tecnología, retrieved 2023-04-01
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