M.Luz Calle RosinganaPhD in MathematicsProf. Biostatistics and BioinformaticsDean of the Faculty of Sciences, Technology and EngineeringUniversity of Vic
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Contact Information
Faculty of Sciences, Technology and Engineering
University of Vic – Central University of Catalonia
Carrer de la Laura, 13
08500–VIC
(SPAIN)
TF: +34 93.881.55.19; +34 93.886.12.22
e-mail: malu.calle@uvic.cat
http://mon.uvic.cat/bms/members/malu/
http://mon.uvic.cat/bioinformatica-educativa/
http://mon.uvic.cat/statistical-pills/
http://mon.uvic.cat/master-omics/
https://github.com/malucalle
Education
PhD in Mathematics, Universitat Politècnica de Catalunya
Postgraduate in Applied Statistics, Universitat Politècnica de Catalunya
Graduate in Mathematics, Universitat de Barcelona
Research
Statistical Genetics and Medical Statistics
Omics Data Analysis
Microbiome Data Analysis
Predictive and prognostic survival models
Study and development of new statistical methods for bioinformatics
Teaching
Biostatistics, Biosciences degrees
Bioinformatics I, Biotechnology degree
Genetic Epidemiology, Biotechnology degree
Statistical and data-mining methods for omics data analysis, Msc Omics Data Analysis
Bioscketch
M.Luz Calle is Full Professor of Biostatistics and Bioinformatics and Dean of the Faculty of Sciences, Technology and Engineering, University of Vic – Central University of Catalonia.
With a background in Mathematics (BSc Mathematics, Universitat de Barcelona, 1986 and PhD in Mathematics, Universitat Politècnica de Catalunya, 1997), she teaches biostatistics and bioinformatics in the Biotechnology degree and Statistical and data-mining methods for omics data analysis in the Master of Sciences in Omics Data Analysis.
She is the group leader of the Bi-squared group (Bionformatics and Bioimaging) of the University of Vic (consolidated group 2021SGR-01249).
Her main research areas are statistical genetics, omics data analysis, microbiome data analysis and survival analysis. She works on the development of new methods for biomarker discovery, identification of genetic risk profiles and construction of dynamic prediction and prognostic models of disease evolution. She is also interested in statistical methods for integration of multi-omics data and compositional data approaches in metagenomics.
She is member of several scientific societies: BiostatNet-Spanish National Network in Biostatistics, Catalan Statistical Society, Spanish Society of Statistics and Operational Research, International Biometric Society, International Genetic Epidemiology Society.
Former Head of the Biosciences Department (2018-2022), chair of the Master of Sciences in Omics Data Analysis (2012-2020), President and Vicepresident of the Spanish Region of the International Biometrics Society (2012-2013 and 2014, respectively).