Paulo Tadeu Meira e Silva de Oliveira

Researcher in the field of Probability, Statistics and Applications. Bachelor's Degree in Statistics from the University of São Paulo (1997), Master's in Statistics from the University of São Paulo (2001) who worked with comparative calibration models, Ph.D. in Statistics from the University of São Paulo, concluded with the degree of Doctor (2008) in which I worked with epistasis models using almost optimal search models called genetic algorithm. Between December 2008 and November 2011 I did a postdoctoral internship at the Institute of Energy and Nuclear Research in São Paulo where I worked with multivariate analysis in classification techniques such as cluster, principal components, factor analysis and discriminant analysis, as well as in problems that involved discrepant data with FAPESP funding. Post doctorate in Transport Engineering at EESC/STT USP (2015-2020) dealing with problems involving undersampling and analysis of variance in data obtained from voluntary drivers in the driving simulator and currently doing a new post doctorate at the EMBRAPA/BAYER agreement ( 2021 -) in research related to the production of sustainable carbon. Has experience in the field of Probability and Statistics, with an emphasis on Statistics, acting on the following topics: multivariate data analysis, genetic models for quantitative traits, optimization methods by genetic algorithms, comparative calibration models, neutron activation analysis, ceramics and trace elements, thesis defended in the field of Statistics applied to Genetics and proposals for work on data analysis related to people with disabilities, aiming at comparative studies between people with disabilities and those who do not have disabilities due to other variables such as education level, income , working condition and others. (Source: Lattes Curriculum)