CURRICULUM VITAE: JORGE MENDES
Name: Jorge Morais Mendes
Position: Assistant Professor and Official Statistics Deputy at Information Management School, NOVA Information Management School
Organisation: NOVA/ CLODE Consultants
Date of birth: 10 December 1972
Nationality: Portuguese
Education
2006 PhD in Statistics and Operation Research, specialisation in Statistics and Probability. Dissertation: “Some problems in Bayesian hierarchical modelling of non-Gaussian spatial-temporal data, Faculty of Sciences, University of Lisbon (FCUL), Portugal. Supervisor: Kamil F. Turkman (FCUL). Committee: Miguel Guimarães (FCUL), Maria Antónia Amaral Turkman (FCUL), Maria Lucília Carvalho (FCUL), Manuel J. Vilares (ISEGI-UNL), Marília Antunes (FCUL), Vic Barnett (University of Nothingham), João Corte-Real (Universidade de Évora). Approved with Distinction and Honours
2000 Master in Probability and Statistics: “A modelação espaço-temporal: Uma contribuição para uma nova perspectiva sobre a modelação da qualidade do ar atmosférico em Lisboa” [Spatio-temporal modelling: a contribution to a new perspective on modelling the quality of the air in Lisbon], Faculty of Sciences, University of Lisbon (FCUL), Supervisor: Kamil F. Turkman (FCUL). Committe: Dinis Duarte Pestana (FCUL), Marco Octávio Trindade Painho (ISEGI-UNL), Maria Lucília Carvalho (FCUL). Approved
1997 Bachelor in Statistics and Information Management (ISEGI-NOVA). GPA: 17 (out of 20)
Languages
Portuguese: Native
English: Fluent
Skills
Microsoft Office (Word, Excel, PowerPoint)
Present position(s)
NOVA IMS: Associate Professor at NOVA University of Lisbon
NOVA IMS: Auxiliary Professor at NOVA University of Lisbon
Experience in present position(s)
1 year: NOVA IMS Associate Professor
14 years: NOVA IMS Auxiliary Professor
FCSC DIPLOMA
Key qualifications
•  Methodological support on agriculture surveys, Ministry of Agriculture, Angola, 2012-2015
•  Methodological support on Guidance note on sampling methods for audit, European Commission, 2012-2016
•  Workforce on Eurostat Guidelines for Metadata on Quality in the Euro SDMX Metadata Structure (ESMS), Eurostat, 2009-2010
•  Workforce on Use of Administrative and Accounts Data in Business Statistics – Quality Indicators when using Administrative Data in Statistical Operations, Eurostat, 2009-2010
•  Workforce – Statistical Confidentiality, Eurostat, 2010
•  Programme for the International Assessment of Adult Competencies (PIAAC). OECE-INE, 2009-2010
•  Household Finance and Consumer Survey (HFCS). European Central Bank – INE, 2010-2011
•  Statistics Portugal representative in DIME – Directors of Methodology, Eurostat, 2008-2010
•  Scientific Board of NOVA Observatory of Professional Insertion – OBIPNOVA, since May 2010
•  Bachelor in Statistics and Information Management – Programme Coordinator, 2006-2010
•  Bachelor in Information Technology and Systems – Programme Coordinator, 2010-2013
•  MSc in Clinical Data Management – Programme Coordinator, since 2018
•  MSc in Statistics and Information Management – Program Coordinator, since 2019
•  Post-graduation in Management and Budgetary and Financial Control, since 2017
Professional experience
2019-date Portugal Associate Professor in NOVAIMS, NOVA University of Lisbon
2006-date Portugal Professor Auxiliar na NOVA IMS, Universidade Nova de Lisboa (Portugal) desde julho de 2006. Iniciou a carreira académica como Assistente Estagiário
2008-2010 Portugal Chefe do Serviço de Métodos Estatísticos, Instituto Nacional de Estatística, em regime de comissão de serviço
2001 Porgugal Assistente do Departamento de Geografia e Planeamento Regional da Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa, 2001
1993-1997 Portugal GEOIDEIA - Estudos de Organização do Território, Lda, técnico responsável pelo processamento de informação estatística e cartográfica
1992 Portugal ALIPUS – Produtos Informáticos, Lda (software house), gerente
1990-1991 Portugal Laserdata, Lda (software house), gestor de produto e programador Clipper
1989-1990 Portugal JRM – Gabinete de Estudos Técnicos e Informática, Lda (software house), programador (COBOL language)
1990 Portugal CSQI – Comércio e Serviços de Qualidade Informática, Lda (software house), gestor de produto e programador (COBOL language)
FCSC DIPLOMA
Other relevant information (publications)
•  Branco, J., Rodrigues, A.M., Gouveia, N., Eusébio, M., Ramiro, S., Machado, P., Laires, P., Tavares, V., Mourão, A. F., Silva, I., Araújo, F., Sepriano, A., Sousa, R., Sousa, S., Coelho, P.S., Mendes, J. M., Canhão, H. (2016). EpiReumaPt - The Dream of a Generation in a Decade of Work, Laboratórios Bial
•  Pinto A., Rodrigues T., Mendes J., Bação F., Lobo V. (2013) Medication and Polymedication in Portugal. In: Oliveira, P., da Graça Temido, M., Henriques, C., Vichi, M. (eds) Recent Developments in Modeling and Applications in Statistics. Studies in Theoretical and Applied Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32419-2_7
•  Mendes, J. M., Bação, F. L. (1999). Cluster analysis: the methods and techniques. - In Ferreira, M. J. (ed) Metodologias de Análise Regional: a análise factorial e de clusters, Série Documentos de Trabalho - Nº 1, Centro
•  de Estudos de Geografia e Planeamento Regional, Faculdade de Ciências Sociais e Humanas
•  Mendes, J. M., Pinto, H. R. (1997). The demand for oil in Portugal, Working Papers do ISEGI, nº 72, ISEGI-UNL
•  Mendes, J. M. e Turkman, K. F. (2000). A study of the air quality in Lisbon: a spatio-temporal model for the prediction of NO2 levels. Notas e Comunicações Nº 16/2000, ISBN: 972-8628-07-2. Centro de Estatística e Aplicações da Universidade de Lisboa, Lisboa
•  Mendes, J. M. e Turkman, K. F. (2005). A Bayesian hierarchical model for over-dispersed count data: a case study for abundance of hake recruits. Notas e Comunicações Nº 6/2005, ISBN: 972-8859-32-5. Centro de Estatística e Aplicações da Universidade de Lisboa, Lisboa
Awards and other distinctions
•  IBM award for best student on Information Systems course, Statistics and Information Management Bachelor, 1996
•  INE award (National Statistics Institute) for best student, Statistics and Information Management Bachelor, 1996
•  Royal Statistical Society award for best poster, “A Bayesian hierarchical model for local precipitation by downscaling atmospheric circulation patterns”, no International Workshop on Modelling Spatio-Temporal Data, Southampton Statistical Sciences Research Institute, Southhampton, UK, May 2005
•  Best communication award (Mathematics, Engineering and Modelling) - A Bayesian hierarchical model for assessment of hake recruitment stock), Jornadas dos Mar 2006, Navy School, Lisbon, Portugal, November 2006
•  Grande Prémio Bial de Medicina [BIAL award on medicine]- EpiReumaPt - the dream of a generation in a decade of work, 2016
FCSC DIPLOMA
CURRICULUM VITAE: JORGE MENDES
Name: Jorge Morais Mendes
Position: Assistant Professor and Official Statistics Deputy at Information Management School, NOVA IMS
Organisation: NOVA/ CLODE Consultants
Date of birth: 10 December 1972
Nationality: Portuguese
Education
2006 PhD in Statistics and Operation Research, specialisation in Statistics and Probability. Dissertation: “Some problems in Bayesian hierarchical modelling of non-Gaussian spatial-temporal data, Faculty of Sciences, University of Lisbon (FCUL), Portugal. Supervisor: Kamil F. Turkman (FCUL). Committee: Miguel Guimarães (FCUL), Maria Antónia Amaral Turkman (FCUL), Maria Lucília Carvalho (FCUL), Manuel J. Vilares (ISEGI-UNL), Marília Antunes (FCUL), Vic Barnett (University of Nothingham), João Corte-Real (Universidade de Évora). Approved with Distinction and Honours
2000 Master in Probability and Statistics: “A modelação espaço-temporal: Uma contribuição para uma nova perspectiva sobre a modelação da qualidade do ar atmosférico em Lisboa” [Spatio-temporal modelling: a contribution to a new perspective on modelling the quality of the air in Lisbon], Faculty of Sciences, University of Lisbon (FCUL), Supervisor: Kamil F. Turkman (FCUL). Committe: Dinis Duarte Pestana (FCUL), Marco Octávio Trindade Painho (ISEGI-UNL), Maria Lucília Carvalho (FCUL). Approved
1997 Bachelor in Statistics and Information Management (ISEGI-NOVA). GPA: 17 (out of 20)
Languages
Portuguese: Native
English: Fluent
Skills
Microsoft Office (Word, Excel, PowerPoint)
Present position(s)
NOVA IMS: Associate Professor at NOVA University of Lisbon
NOVA IMS: Auxiliary Professor at NOVA University of Lisbon
Experience in present position(s)
1 year: NOVA IMS Associate Professor
14 years: NOVA IMS Auxiliary Professor
FCSC DIPLOMA
Key qualifications
•  Methodological support on agriculture surveys, Ministry of Agriculture, Angola, 2012-2015
•  Methodological support on Guidance note on sampling methods for audit, European Commission, 2012-2016
•  Workforce on Eurostat Guidelines for Metadata on Quality in the Euro SDMX Metadata Structure (ESMS), Eurostat, 2009-2010
•  Workforce on Use of Administrative and Accounts Data in Business Statistics – Quality Indicators when using Administrative Data in Statistical Operations, Eurostat, 2009-2010
•  Workforce – Statistical Confidentiality, Eurostat, 2010
•  Programme for the International Assessment of Adult Competencies (PIAAC). OECE-INE, 2009-2010
•  Household Finance and Consumer Survey (HFCS). European Central Bank – INE, 2010-2011
•  Statistics Portugal representative in DIME – Directors of Methodology, Eurostat, 2008-2010
•  Scientific Board of NOVA Observatory of Professional Insertion – OBIPNOVA, since May 2010
•  Bachelor in Statistics and Information Management – Programme Coordinator, 2006-2010
•  Bachelor in Information Technology and Systems – Programme Coordinator, 2010-2013
•  MSc in Clinical Data Management – Programme Coordinator, since 2018
•  MSc in Statistics and Information Management – Program Coordinator, since 2019
•  Post-graduation in Management and Budgetary and Financial Control, since 2017
Professional experience
2019-date Portugal Associate Professor in NOVAIMS, NOVA University of Lisbon
2006-date Portugal Professor Auxiliar na NOVA IMS, Universidade Nova de Lisboa (Portugal) desde julho de 2006. Iniciou a carreira académica como Assistente Estagiário
2008-2010 Portugal Chefe do Serviço de Métodos Estatísticos, Instituto Nacional de Estatística, em regime de comissão de serviço
2001 Porgugal Assistente do Departamento de Geografia e Planeamento Regional da Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa, 2001
1993-1997 Portugal GEOIDEIA - Estudos de Organização do Território, Lda, técnico responsável pelo processamento de informação estatística e cartográfica
1992 Portugal ALIPUS – Produtos Informáticos, Lda (software house), gerente
1990-1991 Portugal Laserdata, Lda (software house), gestor de produto e programador Clipper
1989-1990 Portugal JRM – Gabinete de Estudos Técnicos e Informática, Lda (software house), programador (COBOL language)
1990 Portugal CSQI – Comércio e Serviços de Qualidade Informática, Lda (software house), gestor de produto e programador (COBOL language)
FCSC DIPLOMA
Other relevant information (publications)
•  Branco, J., Rodrigues, A.M., Gouveia, N., Eusébio, M., Ramiro, S., Machado, P., Laires, P., Tavares, V., Mourão, A. F., Silva, I., Araújo, F., Sepriano, A., Sousa, R., Sousa, S., Coelho, P.S., Mendes, J. M., Canhão, H. (2016). EpiReumaPt - The Dream of a Generation in a Decade of Work, Laboratórios Bial
•  Pinto A., Rodrigues T., Mendes J., Bação F., Lobo V. (2013) Medication and Polymedication in Portugal. In: Oliveira, P., da Graça Temido, M., Henriques, C., Vichi, M. (eds) Recent Developments in Modeling and Applications in Statistics. Studies in Theoretical and Applied Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32419-2_7
•  Mendes, J. M., Bação, F. L. (1999). Cluster analysis: the methods and techniques. - In Ferreira, M. J. (ed) Metodologias de Análise Regional: a análise factorial e de clusters, Série Documentos de Trabalho - Nº 1, Centro
•  de Estudos de Geografia e Planeamento Regional, Faculdade de Ciências Sociais e Humanas
•  Mendes, J. M., Pinto, H. R. (1997). The demand for oil in Portugal, Working Papers do ISEGI, nº 72, ISEGI-UNL
•  Mendes, J. M. e Turkman, K. F. (2000). A study of the air quality in Lisbon: a spatio-temporal model for the prediction of NO2 levels. Notas e Comunicações Nº 16/2000, ISBN: 972-8628-07-2. Centro de Estatística e Aplicações da Universidade de Lisboa, Lisboa
•  Mendes, J. M. e Turkman, K. F. (2005). A Bayesian hierarchical model for over-dispersed count data: a case study for abundance of hake recruits. Notas e Comunicações Nº 6/2005, ISBN: 972-8859-32-5. Centro de Estatística e Aplicações da Universidade de Lisboa, Lisboa
Awards and other distinctions
•  IBM award for best student on Information Systems course, Statistics and Information Management Bachelor, 1996
•  INE award (National Statistics Institute) for best student, Statistics and Information Management Bachelor, 1996
•  Royal Statistical Society award for best poster, “A Bayesian hierarchical model for local precipitation by downscaling atmospheric circulation patterns”, no International Workshop on Modelling Spatio-Temporal Data, Southampton Statistical Sciences Research Institute, Southhampton, UK, May 2005
•  Best communication award (Mathematics, Engineering and Modelling) - A Bayesian hierarchical model for assessment of hake recruitment stock), Jornadas dos Mar 2006, Navy School, Lisbon, Portugal, November 2006
•  Grande Prémio Bial de Medicina [BIAL award on medicine]- EpiReumaPt - the dream of a generation in a decade of work, 2016
FCSC DIPLOMA