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

bioinformatics

Data science for -omics data / Computational genomics / Computational biology

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
Project title: “Development of a prioritization algorithm of pathogenic variants based on public databases of different origins.”
 
 
 
 
 
Health Researcher - Data Scientist
Feb 2023 – Present Trieste, Italy

Main activities and responsibilities:

  • Clinical Biostatistics, Epidemiology, Computational Genomics.
  • Writing scientific papers.
  • Writing research protocols.
  • Project management.
 
 
 
 
 
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

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