Paolo Dalena

Paolo Dalena

Data Scientist
Health Researcher
PhD Candidate in Artificial Intelligence & Applied Data Science

IRCCS Burlo Garofolo

University of Trieste

ADSAI PhD Program

Biography

I was born in Putignano in 1997.
My mother is a proud high school teacher of Italian literature, while my father is a retired specialist gas operator. From them I probably got my interest in textual analysis and my propensity for practicality and organization respectively.
In 2016, after Scientific High School, I moved to Bologna to attend the Bachelor of Science in Statistical Sciences at Alma Mater Studiorum - University of Bologna. In 2019 I graduated with a thesis in Text Mining with R on complex text sources and I subsequently enrolled in a Master of Science in Data science, also at the University of Bologna.
During the second year of my Master I worked as a research collaborator at the Research Center of the Deutsche Bundesbank on a private project concerning the evaluation of publications in recent years. After that, I collaborated with the Mannheim University of Applied Sciences as an Erasmus student to take part to the research project about which I wrote my Master Thesis. These two experiences have increased my interest in the world of research. In fact, after my Master’s degree (2021), I started working for the WHO Collaborating Centre for Maternal & Child Health Burlo Garofolo in Trieste as a research collaborator.
After one year as a research collaborator, at the beginning of 2023, I became a Health Researcher. In October 2023, I obtained a Second-level Short Specialisation degree in Machine learning and big data in precision medicine and biomedical research from the University of Padua. In November 2023 I started collaborating with the Department of Genetics and the Universitary Department of the Paediatric Clinic at Burlo Garofolo and started in parallel a PhD course in Artificial Intelligence and Applied Data Science at the University of Trieste.

Check the website of my R package {tastypie} for making easy pie charts with R! (available on CRAN)

Interests
  • R Programming
  • Data Science
  • Text Mining
  • R Packages Developing
  • Computational Genomics
Education
  • PhD Candidate in Artificial Intelligence & Applied Data Science, Nov 2023 - current

    University of Trieste

  • Second-level Short Specialisation degree in Machine learning and big data in precision medicine and biomedical research, Nov 2022 - Oct 2023

    University of Padova

  • MSc in Statistical Sciences (curr. Data Science), Oct 2021, 110/110 L

    Alma Mater Studiorum - University of Bologna

  • Erasmus+ exchange, Apr-Sep 2021

    Mannheim University of Applied Sciences

  • BSc in Statistical Sciences (curr. Economics & Business), Jul 2019, 110/110 L

    Alma Mater Studiorum - University of Bologna

Skills

R-programming

Packages Developing:{tastypie}

Version Control

Git / GitHub / GitLab

Continuous Integration

Codecov / GitHub-Actions

Reproducible Research

R Markdown
Books / Sites: {bookdown} / {pkgdown} / {blogdown}

Statistics

Classical / Bayesian / Data Science / Survival Analysis / Big Data Analytics / Time Series Analysis

Graphics

{ggplot2}

3d printing

Printing cool stuff with my Anycubic i3 Mega S

Table Football

Me and my colleague Dado are almost unbeatable

Climbing

Still learning while trying not to break my bones

Experience

 
 
 
 
 
PhD in Applied Data Science & Artificial Intelligence
Nov 2023 – Present Trieste, Italy
 
 
 
 
 
Health Researcher - Data Scientist
Feb 2023 – Present Trieste, Italy
 
 
 
 
 
Research Collaborator
Jan 2022 – Jan 2023 Trieste, Italy

Main activities and responsibilities:

  • Biostatistical analysis of data from active projects.
  • Project management.
  • Writing scientific papers.
 
 
 
 
 
Research Intern
Feb 2021 – Apr 2021 Frankfurt am Main, Germany

Main activities and responsibilities:

  • Analysis and evaluation of research projects and recent publications.
  • Text Mining and Big Data Analytics.
 
 
 
 
 
Research Intern
Jan 2019 – Mar 2019 Padova, Italy

Main activities and responsibilities:

  • Text Mining on complex text sources: tumor marker guidelines.
  • Developing of an R package able to import text from PDF files.

Acquired skills and achieved objectives:

  • Data Science through R.
  • Understanding of R language.
  • Ability to program on R and develop an R Package.

Company sector: Data Mining & Artificial Intelligence

 
 
 
 
 
Tutor in Statistics and Programming with R
Jan 2017 – Jan 2021 Bologna, Italy

Main activities and responsibilities:

  • Private lessons in Statistics, Probability, Data Analysis and Programming with R for undergraduate students of Bachelor’s and Master’s Degree Courses.

Acquired skills and achieved objectives:

  • Ability to share and integrate knowledge adapting it to different contexts and study paths.

Recent Publications

Quickly discover relevant content by filtering publications.
(2023). Women’s suggestions on how to improve the quality of maternal and newborn care during the COVID-19 pandemic in Italy: A co-occurrence network analysis. Journal of Global Health.

PDF Cite Online version

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