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marcoreverenna/README.md

Marco Reverenna

I am a data scientist, currently engaged with the MoNA (Multi-omics Network Analysis) group at the Novo Nordisk Center for Biosustainability at DTU Biosustain. My academic journey includes a Master's in Biotechnology and a two-year specialization in Genomic Data Science from the University of Pavia, Italy. This latter experience has allowed me to delve deeply into my interest in mathematics, statistics, and omics sciences, combining advanced technical skills with a solid theoretical foundation.

  • 🧬 I’m currently working on proteomics, multi-omics analysis and deep learning for drug discovery.
  • 🧩 I’m currently focusing on graph machine learning applied to proteomics data.
  • 🚀 Interests: machine learning, data science, network science and drug discovery.
  • More information about me in my linkedin profile.
⚡ Github's Stats
Languages Python R bash
Database mysql
DevOps git github Docker
Workflow Management Snakemake Nextflow
Cloud heroku
Data Science jupyter pandas numpy Matplotlib Seaborn Sklearn Tensorflow PytorchGeometric
OS Ubuntu

Connect with me:

https://www.linkedin.com/in/marco-reverenna-151787190/ Email

Pinned Loading

  1. marcoreverenna marcoreverenna Public

  2. nf-retrieve_info_mgnify nf-retrieve_info_mgnify Public

    Python

  3. phasing_imputation_analysis phasing_imputation_analysis Public

    Analysis to test first phasing and imputation algorithms with following data visualization of statistical tests on notebooks

    Jupyter Notebook

  4. single-cell_imputation single-cell_imputation Public

    Python

  5. snakemake_singlecell_study snakemake_singlecell_study Public

    tutorial for creating workflow in python

    Python

  6. timelapse_machinelearning timelapse_machinelearning Public

    Jupyter Notebook