Dr. Tiago Fragoso

PISA data manager – scaling
Research associate

Phone: +49.89.289.28264
Room: 220
Hours: on appointment
Mail: Tiago Fragoso

Vita

PISA data manager (scaling) in Germany (since 03/2024)
Policy Analyst at the Organization for Economic Co-operation and Development (OECD), working with the international management and implementation of the Programme for International Student Assessment (PISA), and of the PISA for Schools projects (from 01/2020 to 03/2024).
Researcher at Fundação Cesgranrio (Rio de Janeiro, Brazil), part of the data analysis and scaling teams for most of Brazil’s large-scale educational assessments and entrance exams (from 02/2016 to 12/2019).
Postdoctoral researcher, Department of Applied Mathematics and Statistics, Universidade de São Paulo – São Carlos (from 12/2014 to 01/2016).
Doctoral Student in Statistics, Department of Statistics, Universidade de São Paulo, Brazil (09/2010 to 09/2014), Advisor: Prof. Dr. Júlia Pavan Soler, Title of the Dissertation: “Bayesian variable selection for multilevel Item Response Theory models with applications in Genomics”.
Masters student in Applied Mathematics and Computer Science, Department of Applied Mathematics and Statistics, Universidade de São Paulo – São Carlos, Brazil (03/2007 to 08/2010), Advisor: Prof. Dr. Mariana Cúri, Title of the Thesis: “Multidimensional Item Response Models”.
Diploma in Mathematics, Universidade de São Paulo – São Carlos, Brazil (04/2004 – 12/2006).

International Student Assessment
Large-scale educational assessment and surveys methodology and implementation
Student motivation and engagement
Psychometrics, Computational Psychometrics, Machine Learning and Artificial Intelligence

Fragoso, T.M., Bertoli, W., Louzada, F. (2017) Bayesian Model Averaging: A Systematic Review and Conceptual Classification. International Statistical Review, v. 86, p. 1-28, http://dx.doi.org/10.1111/insr.12243
Gysi, D.M., Voigt, A., Fragoso, T. M., Almaas, E. Nowick, K. (2018) wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool. BMC Bioinformatics, v. 19, p. 392, http://dx.doi.org/10.1186/s12859-018-2351-7
Fragoso, T.M., De Andrade, M., Pereira, A., Rosa, G.J.M., Soler, J.M.P (2016) Bayesian Variable Selection in Multilevel Item Response Theory Models with Application in Genomics. Genetic Epidemiology, v. 40, p. 253-263, http://dx.doi.org/10.1002/gepi.21960
Fragoso, T.M., Giolo, S., Pereira, A., De Andrade, M., Soler, J.M.P (2014) Using Item Response Theory to Model Multiple Phenotypes and Their Joint Heritability in Family Data. Genetic Epidemiology (Print), v. 38,, Online, 2014. http://dx.doi.org/10.1002/gepi.21784
Fragoso, T.M. , Cúri, M. (2013) Improving psychometric assessment of the Beck Depression Inventory using Multidimensional Item Response Theory. Biometrical Journal (1977), v. 55, p. 527-540 http://dx.doi.org/10.1002/bimj.201200197