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Mattia Furlan

Post Doc
Post Doc
Istituto Italiano di Tecnologia
Biografia

I was trained in physics, I got a PhD in Complex Systems for Life Sciences, and I actively work in the fields of computational biology and bioinformatics. My main scientific interest is the characterisation of transcriptional and post-transcriptional RNA dynamics [1], which I exploit to investigate multiple biological systems; I have recently focused on cancer. I follow an approach based on RNA-seq data, mathematical modelling, and statistical inference. In this regard, I am one of the developers and maintainers of the R Bioconductor package INSPEcT which allows the investigation of RNA dynamics from sequencing data [2]. I am also fascinated by the epitranscriptome as a major regulatory layer of RNA dynamics [3], which I have begun to explore through the novel exciting Oxford Nanopore Technologies platform for direct RNA sequencing [4]. In general, I am extremely intrigued by both the applicative aspects of computational biology, and the technical aspects of bioinformatics and inference.

Education

Title: PhD in Complex Systems for Life Sciences
Institute: University of Turin
Location: Turin
Country: Italy
From: 2016 To: 2019

Title: Master's Degree in Physics of Complex Systems
Institute: University of Turin
Location: Turin
Country: Italy
From: 2014 To: 2016

Title: Bachelor's Degree in Physics
Institute: University of Turin
Location: Turin
Country: Italy
From: 2011 To: 2014

Experience External

Title: PhD Student
Institute: University of Turin - Department of Physics - Computational Biology Group
Location: Turin
Country: Italy
From: 2016 To: 2019

Skills

Modeling and inference

Bioinformatics

Coding

HPC

Pipeline development

Other

All Publications
2021
Furlan M., Delgado-Tejedor A., Mulroney L., Pelizzola M., Novoa E.M., Leonardi T.
Computational methods for RNA modification detection from nanopore direct RNA sequencing data
RNA Biology, vol. 18, (no. S1), pp. 31-40
2021
de Pretis S., Furlan M., Pelizzola M.
Identification of Genes Post-Transcriptionally Regulated from RNA-seq: The Case Study of Liver Hepatocellular Carcinoma
Methods in molecular biology (Clifton, N.J.), vol. 2284, pp. 271-287
Book Chapter Book Series
2020
Furlan M., Tanaka I., Leonardi T., de Pretis S., Pelizzola M.
Direct RNA Sequencing for the Study of Synthesis, Processing, and Degradation of Modified Transcripts
Frontiers in Genetics, vol. 11
2020
Furlan M., de Pretis S., Pelizzola M.
Dynamics of transcriptional and post-transcriptional regulation
Briefings in Bioinformatics
2020
Furlan M., Galeota E., Del Gaudio N., Dassi E., Caselle M., de Pretis S., Pelizzola M.
Genome-wide dynamics of RNA synthesis, processing and degradation without RNA metabolic labeling
Genome Research