Curriculum Vitæ
Curriculum Vitae (PDF) LAST UPDATED: March 2023
CONTACT
Institut National d'Etudes Démographiques
9 cours des Humanités
93322 Aubervilliers - France
Phone: +33 (0) 1 56 06 21 55
Email: carlo-giovanni.camarda at ined.fr
CURRENT POSITION
Senior research scientist (Directeur de recherche) July 2022 -
Co-Head of the research unit UR05 (2019-): Mortality, Health and Epidemiology
PREVIOUS POSITIONS
Research scientist (Chargé de recherche)
October 2012 - June 2022
Mortality, Health and Epidemiology
Institut National d'Etudes Démographiques
Full-time research scientist (Wissenschaftlicher Mitarbeiter)
March 2011 - September 2012
Laboratory of Survival and Longevity
Max Planck Institute for Demographic Research
Invited researcher (Chercheur Invité)
April 2011 - September 2012
Unité de recherche 05: Mortality, Health and Epidemiology
Institut National d'Etudes Démographiques
Full-time research scientist (Wissenschaftlicher Mitarbeiter)
July 2008 - February 2011
Laboratory of Statistical Demography
Max Planck Institute for Demographic Research
Part-time research scientist (Wissenschaftlicher Mitarbeiter)
December 2007 - June 2008
Laboratory of Statistical Demography
Max Planck Institute for Demographic Research
Ph.D. candidate
October 2003 - June 2008
EDUCATION
Ph.D. in Mathematical Engineering. Statistical Sciences and Techniques Area
Doctorado en Ingeniería Matemática. Area de Ciencias y Técnicas Estadísticas
October 2006 - 11 December 2008
Sobresaliente Cum Laude
Department of Statistics, Universidad Carlos III, Madrid, Spain
Master in Mathematical Engineering
Máster en Ingeniería Matemática
October 2006 - October 2007
Department of Statistics, Universidad Carlos III, Madrid, Spain
Master-Degree in Demographic and Social Statistical Sciences
Laurea in Scienze Statistiche Demografiche e Sociali
October 1998 - 29 May 2003
110/110 Cum Laude
Faculty of Statistical Science, Università “La Sapienza”, Rome, Italy
Erasmus student-exchange program
October 2001 - June 2002
Social Statistics & Demography - University of Southampton, UK
PUBLICATIONS & CONTRIBUTIONS
TEACHING EXPERIENCE
See section Teaching
AWARDS
2021 European Demographer Award (Population Europe site)
Blue Ribbon Poster Award at the Annual Meeting of the Population Association of America 2021 (PAA site)
EAPS Trailblazer Award for Demographic Analysis 2018 (EAPS site)
Blue Ribbon Poster Award at the Annual Meeting of the Population Association of America 2016 (PAA site)
Blue Ribbon Poster Award at the Annual Meeting of the Population Association of America 2012 (PAA site, MPIDR announcement in English and German)
Best Student Presentation Award at the 22nd International Workshop on Statistical Modelling (SMS site)
POST-GRADUATE EDUCATION
PAA Short-Course:
Bayesian Population Projections: Theory and Practise (A. Raftery and H. Ševčíková)
Social Media and Demographic Methods (E. Zagheni)
Short-Courses by the Statistical Modelling Society:
Modeling Ordinal Categorical Data (A. Agresti)
Functional Data Analysis (G. Hooker)
An Introduction to Joint Models for Longitudinal and Survival Data with Applications in R (D. Rizopoulos)
An Introduction to Structural Equation Modelling with the sem Package for R (J. Fox)
Boosting for statistical modelling (B. Hofner, A. Mayr and M. Schmid)
International Max Planck Research School for Demography (MPIDR):
Mathematical demography (J.W. Vaupel)
Survival analysis (J. Gampe and F. Lagona)
Statistical Analysis in the Lexis Diagram: Age-Period-Cohort Models (B. Carstensen)
Stochastic population forecasting (J. Alho)
Advanced spatial demography (D.A. Griffith and F. Lagona)
Statistical data and indicators for public health governance (V. Egidi)
Policy challenges of demographic change (J.W. Vaupel)
International migration: typology, trends, and policies (A. Golini)
New directions in research on mortality and longevity (G. Doblhammer)
Research tools and presentation skills (H. Maier)
Master in Mathematical Engineering (Universidad Carlos III):
Investigación Operativa (Operational Research) (J. Niño-Mora)
Estadística Bayesiana (Bayesian Statistics) (M.P. Wiper)
LANGUAGE SKILLS
Italian (mother tongue)
English (fluent)
French (fluent)
Spanish (basic)
German (basic)
COMPUTER SKILLS
Advanced expert knowledge of R programming language
Expert knowledge of professional typesetting package LATEX
Expert knowledge of MS-Windows Office package (Word, Excel,...)
Good knowledge of the text editor Emacs
Good knowledge of statistical softwares MATLAB, S-Plus, SAS and SPSS
User of Linux, Windows and Mac Operating Systems
MEMBERSHIPS
European Association for Population Studies. Elected Member of the Council (2020 -)
Statistical Modelling Society. Elected Member of the Executive Committee (2015-2021)
Population Association of America
International Union for the Scientific Study of Population