Piero has pursued his entire academic journey at the University of Padua, where he earned a degree in Bioengineering in 2024, specializing in Modeling and Biological Data Analysis. His studies emphasized the application of information technologies to biological modeling, covering areas such as data analysis, signal and image processing, machine learning, and dynamical systems.
For his master's thesis in Bioinformatics, Piero conducted research that deepened his expertise in computational biology. Following graduation, he joined the SysBioBig group as a research fellow, further refining his skills in systems biology and computational analysis.
Currently, Piero is a Ph.D. student at the Department of Information Engineering, continuing his collaboration with the SysBioBig group. His research focuses on metagenomics and metataxonomics, with a particular interest in inferring and analyzing microbial interaction networks.

Bachelor in Biomedical Engineering at the University of Padua, Padova (Italy)

Oct 2018-Spt 2021
Thesis: Analisi e semplificazione di un modello delle β-cellule del pancreas umano
Supervisor: Prof. Morten G. Pedersen

Master in Bioengineering at the University of Padua, Padova (Italy)

Oct 2021-Mar 2024
Thesis: Benchmarking of network inference methods applied to 16S rDNA-seq data
Supervisor: Prof. Giacomo Baruzzo

PhD Student in Bioinformatics at SysBioBig group, University of Padova, Department of Information Engineering, Padova (Italy)

Nov 2024-ongoing

Research Fellow at SysBioBig group, University of Padova, Department of Information Engineering, Padova (Italy)

Apr 2024-Oct 2024

Piero's research fields are Bioinformatics and Computational Biology. He focuses on metagenomics and metataxonomics, with a particular interest in inferring and analyzing microbial interaction networks.

Metagenomics and Metataxonomics
- Analysis of NGS metagenomics and metataxonomics data
- Development and application of proper Bioinformatics pipelines for the analysis of NGS data
Microbial interaction networks
- Infer microbial interaction network for NGS data
- Analyse the characteristics of microbial networks

Oral presentation: P. Mariotto, M. Baldan, B. Di Camillo, G. Baruzzo, "Limitations of the co-occurrence-based approach in the inference of microbiota interaction networks." at 20th Annual Meeting of the Bioinformatics Italian Society (BITS)

Trento, Italy, June 12-14, 2024

Oral presentation: P. Mariotto, M. Baldan, B. Di Camillo, G. Baruzzo, "Comprehensive benchmarking of network inference methods for 16S rDNA-Seq data" 19th conference on Computational Intelligence methods for Bioinformatics and Biostatistics

Benevento, Italy, September 4-6, 2024

Young-InfoLife group, InfoLife National Laboratory of CINI (role: member)