Francesco Punzi

Bioinformatician and molecular biologist

Bioinformatician and molecular biologist with competence in analysing biological data, in particular RNA-seq data, through the R and Python programming languages, and in RNA extraction

Contact 2300, Copenhagen
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Languages
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Skills
Work Experience
PhD exchange period
University of CopenhagenCopenhagen
Jul 2026 — Sep 2026
  • Development of an LLM-driven bioinformatic tool for biological analyses
Software Programmer
Niuma s.r.l.Bari
Jan 2022 — Jan 2023
  • Developed the back-end of a web application using Java SE and Spring framework.
  • Worked on a microservices project with MongoDB, Jenkins, and GitLab to enhance agile workflows.
  • Gained practical experience in Java, Spring, MySQL, JavaScript, React, and Angular.
Skills
Basic programming in C and PythonServer-side programming of a web application in Java, using appropriate support tools for continuous deployment development and agile work organizationKnowledge of the Linux operating systemBasic knowledge of the SQL languageBioinformatic analysis of RNA-seq data in the R language using the Tidyverse collection, including exploratory analyses (principal component analysis), batch-effect adjustment, differential gene expression analysis, enrichment analysis and orthology analysis
Education
PhD, Bioinformatics
University of Bari
2023-2027
  • Study of the conserved drought stress response in different plant species (Arabidopsis, tomato, wheat) through a bioinformatic comparative large scale transcriptomic analyses that fetched publicly avilable RNA-seq data, identifying response genes and processes both species-specific and conserved across species.
  • Study of the transcriptomic and physiologic response to drought and salinity in the crop wild relative of wheat Triticum ventricosum through RNA-seq and enzymatic assay analyses. The data analysis was performed through bioinformatic analyses in R
Master degree, Bioinformatics
University of Rome Tor Vergata
2019 — 2022
  • During my internship as part of my Master's program, I developed, under the supervision of my tutors, some scripts in the Python programming language to analyse RNA-seq data, followed by the implementation of a CNN WaveNet neural network capable of predicting the state of RNA editing (adenosine to inosine) of RNA molecules
Bachelor degree, Biology
University of Bari
2016 — 2019
Languages
Italian
Native
English
Advanced
Japanese
Intermediate
Publications

Punzi, F., Zuluaga, D. L., Tan, Q. W., Mutwil, M., Sonnante, G., & Curci, P. L. (2026). Cross-species transcriptomics uncovers shared responses to water deficiency in plants. The Plant Genome, 19, e70311. https://doi.org/10.1002/tpg2.70311

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