I am a full-stack developer with experience also in data analysis. I have a formation in both Computer Science and Mathematics, where I excelled specially in algorithmics.
Full-stack developer
Wikiloc Outdoor,
Girona.
2024 -
Complex Systems Researcher
Eurecat, Centre Tecnològic de Catalunya,
Barcelona.
2022 - 2023
Network analysis in order to understand phenomena like
polarization or hate speech in Twitter discussions.
Visiting student
Fondazione ISI,
Torino.
2019 - 2020
Aplication of machine learning techniques to understand Trumpsim in Reddit.
Publication of Roots of Trumpism.
Master in Innovation and Research in Informatics
Universitat Politècnica de Catalunya,
Barcelona.
2020 - 2022
Speciality in Data Science.
Thesis: Reproducibility of Twitter network analysis.
Bachelor Degree in Computer Science
Centre de Formació Interdisciplinària Superior (CFIS),
Universitat Politècnica de Catalunya (UPC),
Barcelona.
2015 - 2020
Speciality in Computating.
Thesis: Roots of Trumpism.
Bachelor Degree in Mathematics
Centre de Formació Interdisciplinària Superior (CFIS),
Universitat Politècnica de Catalunya (UPC),
Barcelona.
2015 - 2020
Thesis: Roots of Trumpism.
International Baccalaureate
Institut Jaume Vicens Vives,
Girona.
2013 - 2015
With a CiMs-CELLEX scholarship.
Spanish Baccalaureate
Institut Jaume Vicens Vives,
Girona.
2013 - 2015
Barcelona ACM-ICPC Programming Bootcamp
Harbour Space University,
Barcelona.
2017
Moscow International Workshop ACM-ICPC
Moscow Institute of Physics and Technology,
Moscow.
2016
Estímul del Talent Matemàtic (Estalmat)
Universitat Politècnica de Catalunya,
Barcelona.
2010 - 2012
Reproducibility of Twitter network analysis
Joan Massachs.
Directed by
Luce Prignano,
Emanuele Cozzo, and
Ramon Ferrer.
Masater thesis,
Universitat Politècnica de Catalunya.
2022.
[link]
[pdf]
[zenodo]
Roots of Trumpism:
Homophily and social feedback in Donald Trump support on Reddit
Joan Massachs,
Corrado Monti,
Gianmarco De Francisci Morales, and
Francesco Bonchi.
Proceedings of the 12th ACM Conference on Web Science.
2020.
[link]
[pdf]
[github]
It received a Honorable Mention
to the Best Paper of the conference.