cv

Academic CV

Table of contents

Basics

Name Eugenio Paglino
Label Data Scientist, Postdoctoral Researcher
Email eugenio.paglino@helsinki.fi
Summary I am a postoctoral researcher at the Helsinki Institute for Demography and Population Health (University of Helsinki) and the The Max Planck – University of Helsinki Center for Social Inequalities in Population Health (MaxHel Center). I hold a PhD in Demography and Sociology and a MA in Statistics and Data Science from the University of Pennsylvania and a BSc and MSc in Economics from Bocconi University. My substantive research interests revolve around climate change and population dynamics and inequalities in health and mortality. Methodologicaly, I apply Bayesian statistics to model population processes such as mortality and migration

Work

  • 2024.09 - Present
    Data Scientist, Postdoctoral Researcher
    University of Helsinki
    • Leveraging full population register data to conduct research on inequalities in health and mortality
    • Investigating mortality of internal migrants and testing the validity of theories on the health of international migrants in the context of internal migration
    • Studying the health trajectories of international immigrants to Finland and comparing them with those of the native population
  • 2023.02 - 2024.10
    Data Scientist, External Consultant
    SwissRe and Boston University
    • Estimated mortality rates by educational attainment in US counties
    • Examined trends in US mortality after the acute phase of the COVID-19 pandemic
    • Provided expert knowledge on geographic and temporal patterns in excess mortality during the COVID-19 pandemic in the US
  • 2021.12 - 2024.08
    Data Scientist, Researcher
    University of Pennsylvania
    • Led a complex research project to estimate the monthly number of excess deaths experienced during the COVID-19 pandemic for 3,127 counties in the United States.
    • Built a data analysis pipeline to estimate Bayesian hierarchical models and aggregate the resulting estimates at different temporal and geographical levels while propagating the relevant uncertainty.
    • Coordinated the work of two research assistants, a postdoc, and an external consultant on the project, assigning them specific tasks and monitoring their progress.
    • Published 7 articles in scientific journals with 3 more under review
  • 2019.09 - 2020.10
    Data Scientist, Research Assistant
    Bocconi University
    • Developed software to combine geolocated data from different surveys for 135 regions of 17 African countries, integrating administrative and geographical data
    • Designed statistical models to investigate the impact of Chinese investments in Africa on health outcomes, and to quantify the relationship between the prevalence of bribery and maternal mortality in African countries, with results published in PLOS Global Public Health
  • 2018.06 - 2018.08
    Research Assistant
    Netherlands Interdisciplinary Demographic Institute (NIDI)
    • Analysed survey metadata for the Generations and Gender Surveys to identify questions associated with respondents dropping out, proposing improved survey design to boost completion rates by 10%
    • Studied new opportunities (costs, sampling issues, organizational requirements) for survey implementation and participant recruitment (e.g. via social media)
    • Presented a final report concluding that the cost of pilot surveys could be reduced by more than 50%
    • Conducted a statistical analysis of interviewer manipulation to detect potential issues in the latest round of data collection, with results published in Demographic Research

Education

  • 2020.09 - 2024.08
    PhD
    University of Pennsylvania, Philadelphia, PA, USA
    Demography and Sociology
  • 2020.09 - 2023.12
    MA
    Wharton School, University of Pennsylvania, Philadelphia, PA, USA
    Statistics and Data Science
  • 2020.09 - 2024.08
    International Max Planck Research School for Population, Health and Data Science
    Max Planck Institute for Demographic Research, Rostock, Germany
    Population, Health and Data Science
  • 2017.09 - 2019.07
    MSc
    Bocconi University, Milan, Italy
    Economics
  • 2014.09 - 2017.07
    BSc
    Bocconi University, Milan, Italy
    Economics

Awards

Skills

R
Python
Statistics
Bayesian Methods (Stan, INLA)
Econometrics
Causal Inference
Demographic Methods

Languages

Italian
Native speaker
English
Fluent
French
Intermediate