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Marc Comas-Cufí

Associate professor in Statistics

Universitat de Girona

I am a member of the research group in Statistics and Compositional Data Analysis at the University of Girona. I enjoy programming and learning how to use new programming languages. For example, I program in R/Python for statistical tasks and data management, Java for GUI development and JavaScript when web programming is required. In the past, I have used C/C++, Fortran, Visual Basic (and VBA), Stata, Matlab, Maple and Lisp. I have good notions of most common markup languages: html, LaTeX or Markdown for documents and xml or json for data structures. In my daily work, I usually work with open-source software. Nowadays, the programs I use the most are RStudio, GNU Make and Git.

Interests

  • Multivariate Count Data analysis
  • Compositional Data modeling
  • Clustering methods
  • Competing Risk analysis
  • Causal inference
  • Survival analysis

Education

  • PhD in Compositional Data Analysis, 2018

    Universitat de Girona

  • Master in High School Teaching, 2010

    Universitat de Girona

  • Master Thesis in Computer Science, 2007

    Universitat Politècnica de Catalunya

  • Master in Financial Engineering "Matemàtiques per als Instruments Financers", 2005

    Universitat Autònoma de Barcelona and Centre de Recerca Matemàtica

  • Degree in Mathematics, 2003

    Universitat Autònoma de Barcelona

Recent Publications

Conferences

CODAWORK 2024

Gaussian zero replacement method for compositional count data sets

SEIO 2023

Model-based zero replacement method for compositional count data sets

IFCS 2023

Clustering count data using compositional methods

V AMYC

A new approach for approximating the parameters of a log-ratio-normal-multinomial distribution

CODAWORK 2022

Clustering count data using compositional methods

Contact

  • Campus Montilivi, P-IV Building, Office 255
    17071 Girona
  • Enter building P-IV and take the stairs to office 255 on last floor
  • Telegram Me