Born and raised in southern Italy, by a wonderful mum and dad, to whom I owe everything. After Scientific High School, I moved to Bologna for a BSc in Statistical Sciences and a MSc in Data Science at Alma Mater Studiorum - University of Bologna.
I then moved to Trieste for a research fellowship offered by the WHO Collaborating Centre for Maternal & Child Health at the Burlo Garofolo Hospital, where I went on to become an Health Researcher in the Department of Genetics and the Universitary Department of the Paediatric Clinic. In the meantime, 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 and started a PhD course in Artificial Intelligence and Applied Data Science at the University of Trieste.
Throughout my career, I have had the privilege of working with amazing people in various parts of the world. During my BSc, I collaborated with the Unit of Biostatistics, Epidemiology and Public Health - University of Padova. During my MSc, I worked as a research associate at the Research Center of the Deutsche Bundesbank and I collaborated with the Mannheim University of Applied Sciences. Currently, during my PhD, I’m collaborating on a European research project at the Law Department of the University of Genova and with the UCD school of mathematics and statistics.
Further information is available below and in my CV! :)
Check the website of my R package {tastypie} for making easy pie charts with R! (available on CRAN)
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
BSc in Statistical Sciences (curr. Economics & Business), Jul 2019, 110/110 L
Alma Mater Studiorum - University of Bologna
Packages Developing:{tastypie}
R Markdown
Books / Sites: {bookdown} / {pkgdown} / {blogdown}
Classical / Bayesian / Data Science / Biostatistics / Big Data Analytics / Time Series Analysis
Data science for -omics data / Computational genomics / Computational biology
Gene interactions / Gene coexpressions / Kinship coefficients
Text Mining / Natural Language Processing
High performance bioinformatics on supercomputers
Me and my colleague Dado are almost unbeatable
Still learning while trying not to break my bones
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Company sector: Data Mining & Artificial Intelligence
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