Professional background           Josep Antoni Martín Fernández              

• Degree in Mathematics [Universitat Autònoma de Barcelona (UAB), 1986]

• Ph.D. in Statistics (Universitat Politàcnica de Catalunya (UPC) , 2001). The doctoral Thesis "Measures of difference and non-parametric classification of Compositional Data" [233 p.; ISBN: 84-699-5369-9] was performed in the Department of Applied Mathematics of UPC and was qualified as the award with special distinction for the 2000-2001 academic course.

 
• Since 1990 I am working in the Departament d'Informàtica, Matemàtica Aplicada i Estadística [Computer Science, Applied Mathematics and Statistics Department] of the University of Girona. Now I am teaching as Full Professor [Professor Doctor] in the Escola Politàcnica Superior [Engineering Faculty]. Usually I teach about statistical and operational research subjects related with computer science and engineering.

 

• My area of interest is the Statistical Analysis of Compositional Data. Now I focuse my research in the topics "Cluster Analysis of Compositional Data" and "Rounded Zeros and Missing Data" in collaboration of my colleagues of the Estadística i Anàlisi de Dades Composicionals group: Vera Pawlowsky-Glahn, Carles Barceló-Vidal, Santiago Thió-Henestrosa, Josep Daunis-i-Estadella, and Glòria Mateu-Figueras.Compositional Data Analysis (CoDA) refers to the analysis of compositional data (CoDa), which have been defined historically as random vectors with strictly positive components whose sum is constant (e.g., 100, one, a million). More recently, the term covers all those vectors representing parts of a whole which only carry relative information, thus including not only parts per unit or percentages, but also molar compositions. Currently I am the PI of the CoDa-research group at the UdG.  

• Since June 2015 I am treasurer of the CoDa Association. This organization brings together scientists interested in developing methods for compositional data modelling and their application in different fields such as, geology, biology, economics or social sciences, to name a few.

                                                                                            Back