Matteo Bonfanti

Matteo Bonfanti

Matteo Bonfanti holds a PhD in Chemical Sciences, with a background in theoretical and computational chemistry. During his doctoral and postdoctoral research, he developed scientific software for quantum dynamics and molecular simulations, contributing to studies on reaction dynamics at surfaces and excited-state processes in complex molecular systems. He has held research positions in Italy, the Netherlands, and Germany, including a Humboldt Research Fellowship at Goethe University Frankfurt.

Since transitioning to bioinformatics in 2020, Matteo has worked on the development of robust computational pipelines for the analysis of next-generation sequencing (NGS) data across a range of omics applications, including single-cell and bulk transcriptomics. He is proficient in workflow management systems such as Nextflow and Snakemake, and experienced in containerization, version control, and HPC environments. His work combines sound software engineering practices with applied data analysis, including statistical modeling and data visualization. He is particularly enthusiastic about Nextflow and is an active member of the nf-core community, where he contributes to the development of best-practice pipelines and is one of the maintainer of the nf-core/crisprseq pipeline.

Since the establishment of the Facility for Data Handling and Analysis at Human Technopole in 2024, Matteo has joined the newly created structure, where he currently serves as Tech Development Lead of Unit 2. In this role, he coordinates the design and maintenance of bioinformatics workflows and contributes to the strategic development of the unit technical infrastructure.

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Pubblicazioni

  • 11/2023 - Cell Reports Medicine

    RAGE engagement by SARS-CoV-2 enables monocyte infection and underlies COVID-19 severity

    The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has fueled the COVID-19 pandemic with its enduring medical and socioeconomic challenges because of subsequent waves and long-term consequences of great concern. Here, we chart the molecular basis of COVID-19 pathogenesis by analyzing patients’ immune responses at single-cell resolution across disease course and severity. This […]