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  "basics": {
    "name": "Francesco Punzi",
    "label": "Bioinformatician and molecular biologist",
    "summary": "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",
    "location": "Contact 2300, Copenhagen"
  },
  "work": [
    {
      "company": "University of Copenhagen",
      "position": "PhD exchange period",
      "location": "Copenhagen",
      "startDate": "2026-07",
      "endDate": "2026-09",
      "highlights": [
        "Development of an LLM-driven bioinformatic tool for biological analyses"
      ]
    },
    {
      "company": "Niuma s.r.l.",
      "position": "Software Programmer",
      "location": "Bari",
      "startDate": "2022-01",
      "endDate": "2023-01",
      "highlights": [
        "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."
      ]
    }
  ],
  "education": [
    {
      "institution": "University of Bari",
      "degree": "PhD",
      "field": "Bioinformatics",
      "highlights": [
        "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"
      ]
    },
    {
      "institution": "University of Rome Tor Vergata",
      "degree": "Master degree",
      "field": "Bioinformatics",
      "startDate": "2019",
      "endDate": "2022",
      "highlights": [
        "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"
      ]
    },
    {
      "institution": "University of Bari",
      "degree": "Bachelor degree",
      "field": "Biology",
      "startDate": "2016",
      "endDate": "2019"
    }
  ],
  "skills": [
    "Basic programming in C and Python",
    "Server-side programming of a web application in Java, using appropriate support tools for continuous deployment development and agile work organization",
    "Knowledge of the Linux operating system",
    "Basic knowledge of the SQL language",
    "Bioinformatic 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"
  ],
  "languages": [
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      "language": "Italian",
      "fluency": "Native"
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      "fluency": "Advanced"
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      "language": "Japanese",
      "fluency": "Intermediate"
    }
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    "locations": [
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      "East Asia"
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    "yearsOfExperience": 0,
    "seniority": "entry",
    "highestEducation": "Doctorate"
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    "platform": "freecv.org"
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    "primary": "en"
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    "lastModified": "2026-10-13T22:24:11.524Z",
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