Maurício Vieira Kritz
Laboratório Nacional de Computação Científica, Applied and Computational Mathematics, Faculty Member
The University of Manchester, School of Biological Sciences, Faculty of Biology, Medicine and Health, Honorary Senior Research Fellow in Evolution & Genomic Sciences
Ever since I was attracted to science, during my late high school years, I considered specialisation harmful. I entered college aiming at physics, switched to mathematics, and graduated with mayors in mathematical-physics and informatics. While working at the Brazilian Bureau of Censuses, I got a MSc in statistics and sampling. My work centred on developing simulators for socio-economic subjects. Adhering to generic systems and General Systems Theory as a firm ground for my thinking was most natural in that context. My PhD work was about computational modelling of physical phenomena, although this term didn’t exist then. It included also a 10k lines of experimental code.
Being the leader in a project to computationally model artificial lakes in the Amazon region moved me into an adventurous quest to find simpler ways to describe, investigate, and understand living phenomena. This quest, based on novel organisation and information concepts, fuel my thoughts still today. Decades after the Amazon project I became PI to the flooded areas group in a multi-institutional network set to model the Amazon landscape in all its dimensions: geo-physical, biotic, socio-economic, and human. Both projects provided me with the opportunity to visit scientific field sites in the jungle and to work with field ecologists, biologists, and meteorologists.
I have taught short and regular courses since my graduation on several subjects related with numerical modelling and environmental sciences and regularly on modelling techniques at LNCC (www.lncc.br) since 2008.”
Being the leader in a project to computationally model artificial lakes in the Amazon region moved me into an adventurous quest to find simpler ways to describe, investigate, and understand living phenomena. This quest, based on novel organisation and information concepts, fuel my thoughts still today. Decades after the Amazon project I became PI to the flooded areas group in a multi-institutional network set to model the Amazon landscape in all its dimensions: geo-physical, biotic, socio-economic, and human. Both projects provided me with the opportunity to visit scientific field sites in the jungle and to work with field ecologists, biologists, and meteorologists.
I have taught short and regular courses since my graduation on several subjects related with numerical modelling and environmental sciences and regularly on modelling techniques at LNCC (www.lncc.br) since 2008.”
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