Gianfranco Abrusci

Data Scientist at LiveIntent, Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
Copenhagen, Capital Region, Denmark, DK
Languages
  • Italiano Native or bilingual proficiency
  • Inglese Professional working proficiency
Skills

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Credentials

  • Google Data Analytics Specialization
    Coursera
    Mar, 2023
    - Nov, 2024
  • Data Analysis with R Programming
    Coursera
    Oct, 2021
    - Nov, 2024
  • Analyze Data to Answer Questions
    Coursera
    Sep, 2021
    - Nov, 2024
  • Share Data Through the Art of Visualization
    Coursera
    Sep, 2021
    - Nov, 2024
  • Process Data from Dirty to Clean
    Coursera
    Aug, 2021
    - Nov, 2024
  • Ask Questions to Make Data-Driven Decisions
    Coursera
    Jul, 2021
    - Nov, 2024
  • Prepare Data for Exploration
    Coursera
    Jul, 2021
    - Nov, 2024
  • Foundations: Data, Data, Everywhere.
    Coursera
    Jun, 2021
    - Nov, 2024
  • Introduction to Julia (for programmers)
    JuliaAcademy
    Jan, 2021
    - Nov, 2024

Experience

  • LiveIntent, Inc.
    • United States
    • Advertising Services
    • 100 - 200 Employee
    • Data Scientist
      • Aug 2022 - Present

  • TREX Project
    • Netherlands
    • Chemical Manufacturing
    • 1 - 100 Employee
    • High-level technical support
      • Oct 2020 - Jul 2022

  • CINECA
    • Italy
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Specialistic Support
      • Sep 2020 - Jul 2022

  • Università di Trento
    • Italy
    • Research Services
    • 700 & Above Employee
    • Doctoral Student
      • Nov 2016 - Oct 2020

      Equilibrium and Adiabatic Biased MD simulations of membrane proteins, role of charged lipids in lipid-protein binding. Custom Python/tcl scripts for analysis purpose.

    • Teaching Assistant
      • 2018 - 2019

      Definition and implementation of the practical lessons of the Computational Biophysics course, master program in Quantitative and Computational Biology.The lessons, available at https://gianfree.github.io/pages/QCB , covered:- Visualisation of proteins with VMD- Setup of proteins for Molecular Dynamics simulations with NAMD- Advanced topics: biased simulations, MD flexible fitting- Analysis of trajectories with tcl/tk and Python (MDAnalysis, ProDy, numpy, scipy)

    • Teaching Assistant
      • Nov 2017 - 2018

      Definition and implementation of the practical lessons of the Computational Biophysics course. The lessons covered:- Visualisation of proteins with VMD- Setup of proteins for Molecular Dynamics simulations with NAMD- Advanced topics: biased simulations, MD flexible fitting, coarse graining- Analysis of trajectories with tcl/tk

    • Teaching Assistant
      • 2016 - 2017

      Fisica I, bachelor in Industrial engineering.

  • School of Innovation
    • Italy
    • Higher Education
    • 1 - 100 Employee
    • Student
      • Nov 2019 - Aug 2020

Education

  • Università di Trento
    Doctor of Philosophy - PhD, Computational biophysics
    2016 - 2020
  • Università di Trento
    School of Innovation (SoI), Business, Entrepreneurship
    2019 - 2020
  • Università degli Studi di Bari
    Master's degree, Theoretical Physics
    2012 - 2016
  • Università degli Studi di Bari
    Bachelor's degree, Physics
    2007 - 2012
  • Liceo Classico P.V.Marone
    2002 - 2007

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