Francesco Zuccarello

Global Co-Head of Analytics Research & Development at Gallagher Re
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, GB
Languages
  • French Elementary proficiency
  • English Full professional proficiency
  • Italian Native or bilingual proficiency
Skills

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Salvatore Malpasso

Francesco is an ambitious person, with great willpower, which has allowed him to achieve excellent academic and professional goals over time. His strong ability to organize work and his excellent problem solving skills, allowed him to grow and learn to adapt within different working contexts.

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Credentials

  • Introduction to Data Science in Python
    Coursera
    Apr, 2020
    - Nov, 2024
  • Practical Machine Learning
    Coursera
    May, 2018
    - Nov, 2024
  • Linear Regression and Modeling
    Coursera
    Apr, 2018
    - Nov, 2024
  • Inferential Statistics
    Coursera
    Mar, 2018
    - Nov, 2024
  • Introduction to Probability and Data
    Coursera
    Jan, 2018
    - Nov, 2024
  • Python as a second language
    KU Leuven
    Jan, 2018
    - Nov, 2024
  • Business Metrics for Data-Driven Companies
    Coursera
    Nov, 2017
    - Nov, 2024
  • Exploratory Data Analysis
    Coursera
    Nov, 2017
    - Nov, 2024
  • Getting and Cleaning Data
    Coursera
    Nov, 2017
    - Nov, 2024
  • R Programming
    Coursera
    Oct, 2017
    - Nov, 2024
  • The Data Scientist’s Toolbox
    Coursera
    Oct, 2017
    - Nov, 2024

Experience

  • Gallagher Re
    • United Kingdom
    • Insurance
    • 700 & Above Employee
    • Global Co-Head of Analytics Research & Development
      • Jun 2022 - Present

    • Divisional Director, Model Development and Platforms
      • Dec 2021 - Jun 2022

  • WTW
    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • Divisional Director, Model Development and Platforms
      • Apr 2021 - Nov 2021

    • Senior Catastrophe Model Developer
      • Apr 2020 - Mar 2021

    • Catastrophe Model Developer
      • May 2018 - Mar 2020

  • KU Leuven
    • Belgium
    • Research Services
    • 700 & Above Employee
    • Research Fellow
      • Jun 2016 - May 2018

      - Led a Flemish Science Foundation (FWO) research projects in the Science & Technology segment.- Validated models of solar flares using remote sensing imagery (Interactive Data Language — IDL, ParaView, Unix-bash).- Applied innovative analysis techniques based on topological key properties of the system to determine its likelihood of generating solar flares (FORTRAN, LESIA codes: OHM-MPI, TopoTr).- Acted as scientific advisor of 2 Ph.D. projects focused on the development and validation of state-of-the-art computational magneto fluid dynamics models for space weather forecast.- Successful proposal writing as principal investigator and project manager.- Training on Statistical Inference, Regression Models and Machine Learning.

  • Observatoire de Paris | PSL
    • France
    • Research
    • 100 - 200 Employee
    • Research Fellow
      • Jun 2014 - May 2016

      - Led an AXA Research Fund project in the segment of environmental risks. - Investigated innovative space weather forecasting solutions by combining computational magneto fluid dynamic models, remote sensing imagery and topological analysis.- Performed parametric studies requiring thousands of CPU hours and efficient handling and analysis of several tens of GBs of data (FORTRAN, IDL, ParaView, Unix-bash, LESIA codes: OHM-MPI, TopoTr). - Actively enhanced hazardous space weather forecasting activities in France through presentations to highly-specialized audiences and during AXA-related outreach activities.

  • KU Leuven
    • Belgium
    • Research Services
    • 700 & Above Employee
    • Research Fellow
      • Oct 2013 - May 2014

    • Postdoctoral Research Associate
      • Nov 2012 - Sep 2013

    • PHD Candidate
      • Oct 2008 - Nov 2012

      Oct 2008 — Nov 2012- Developed computational magneto fluid dynamics models using FORTRAN to run models of solar flares on large-scale, Unix-based supercomputers (up to 256 CPUs/simulation). - Developed Interactive Data Language (IDL) algorithms for the analysis of remote-sensing images.- Designed pipelines for the validation of magneto fluid dynamics models of solar flares using remote-sensing imagery (FORTRAN, IDL, ParaView, KULeuven codes: VAC, MPI-AMRVAC). - Successful proposal writing as principal investigator and project manager.

Education

  • KU Leuven
    Doctor of Philosophy (Ph.D.), Mathematics
    2008 - 2012
  • University of Catania
    Master of Science (M.Sc.), Physics
    2005 - 2008
  • Università di Catania
    Bachelor of Science (B.Sc.), Physics
    2002 - 2005

Community

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