Educational background

Jaume I University

Doctoral Programme in Mathematics | sep 2020 - present

  • Line of research: Archetypal analysis.
  • FPU predoctoral contract.

Master’s Degree in Computational Mathematics | sep 2018 - jul 2020

  • Averge grade: 9.5.
  • Outstanding Master’s Student Award.

Bachelor’s Degree in Computational Mathematics | sep 2014 - jul 2018

  • Average grade: 8.57.
  • Award for Academic Excellence to second-year degree students.
  • Award for Academic Excellence to third-year degree students.
  • Award for Academic Excellence to fourth-year degree students.
  • Outstanding Graduate Achievement Award.

Professional experience

Jaume I University

Predoctoral researcher oct 2021 - present
I’m working on my PhD thanks to a FPU contract that I recieved from the Spanish Ministry of Universities.
External lecturer feb 2021 - mar 2021
I taught the second module of the SIQ025 and SIQ525 subjects included in the master’s degree in Computational Mathematics. The topics covered in the module were git and R packages.
Research technician oct 2018 - aug 2021
I was part of the DPI2017-87333-R project of the Ministry of Science, Innovation and Universities of Spain. I was in charge of conducting tests and experiments and analyzing the results. I also started researching in the field of archetypal analysis, publishing several articles and posters.

Francesc Alted

Software analyst and designer oct 2018 - sep 2021
I was part of the ironArray project. We developed a new computational engine optimized for big-data applications.

Open Source Projects

blosc maintainer 2018 - present
Blosc is a high performance compressor optimized for binary data.
caterva lead maintainer 2018 - present
Caterva is a multidimensional data container specially designed to deal with large multidimensional, chunked, compressed datasets.
memprofiler creator 2020 - present
Memprofiler is a IPython extension for monitoring memory usage of Jupyter notebook cells.
archetypes creator 2021 - present
Archetypes is a scikit-learn compatible Python package for archetypal analysis.

Academic Publications

Articles

  • A. Alcacer, I. Epifanio, J. Valero, A. Ballester. Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size. Mathematics (2021). DOI: 10.3390/math9070771.

  • A. Alcacer, Irene Epifanio, M. Victoria Ibáñez, Amelia Simó, A. Ballester. A data-driven classification of 3D foot types by archetypal shapes based on landmarks. PLoS ONE (2020). DOI: 10.1371/journal.pone.0228016.

International Conferences

  • A. Alcacer, I. Epifanio Discovering archetypal football teams and stats with biarchetype analysis. useR! (2022).

  • A. Alcacer, I. Epifanio, J. Valero, A. Ballester. Combining user-based collaborative filtering and classification for matching footwear size. CMStatistics (2021).

  • A. Alcacer, I. Epifanio. Biarchetype analysis: definition and application to sports analysis. 3rd BYMAT Conference (2020).

  • A. Alcacer, I. Epifanio, M. V. Ibáñez, A. Simó, A. Ballester. What are the types of Spanish foot shapes? Archetypoid analysis of 3D images. 30th International Biometric Conference, IBC (2020).

  • A. Alcacer, I. Epifanio, M. Victoria Ibáñez, A. Simó. Archetypal contour functions. 12th Scientific Meeting Classification and Data Analysis Group, CLADAG (2019). ISBN: 978-88-8317-108-6.

  • A. Alcacer, I. Epifanio, M. V. Ibáñez, A. Simó. Analysis of 2D foot morphology by functional archetypal analysis. XVII Conferencia Española de Biometría and VII Encuentro Iberoamericano de Biometría (2019). ISBN: 978-84-09-11706-2.

National Conferences

  • A. Alcacer, I. Epifanio. Analysis of gene expression data using biarchetype analysis. V Jornadas Científicas de Estudiantes de la Sociedad Española de Bioestadística, VJSEB (2021).

  • A. Alcacer, I. Epifanio, M. V. Ibáñez, A. Simó, A. Ballester. A data-driven classification of 3D foot types by archetypal shapes based on landmarks. V Congreso de Jóvenes Investigadores de la RSME (2020).