Since my PhD in Physics, 11 years ago, I have been working on data analysis, using statistics and machine learning techniques in both academic and commercial environments.

What I am passionate about is interrogating data to understand and solve problems. This passion lead me to analyse data in various fields, from science to industry.

• I applied machine learning to projects from predictive analytics to gps tracks clustering as a Data Scientist consultant.

• I analysed DNA sequencing data and assembled genomes as a Bioinformatician at the Wellcome Trust Sanger Institute [Paper]

• I contributed to unravel a tiny little bit of the internal structure of protons as a Physicist [Paper].

My own BioInformatics tools

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• My factotum tool for fast genomic sequences manipulation and interrogation seq_factotum

• Genome visualisation pipeline (uses ACT and circlize): forACT
  

• Want to get started with genome assembly? Look at my slides and scripts: Intro to NGS

Tutorials

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• Use Folium to Map your geografical data
  keywords: python, geo, map, geo-viz, visualization, gps coordinates, heatmap, add layers, animated map github, nbviewer

My favourite publications

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• scanPAV: a pipeline for extracting presence-absence variations in genome pairs
  F. Giordano et al., Bioinformatics. 34(17):3022, 2018
• The origins and vulnerabilities of two transmissible cancers in Tasmanian devils,
  M.R. Stammnitz et al., Cancer Cell, 33(4):607-619.e15, 2018
• De novo yeast genome assemblies from MinION, PacBio and MiSeq platforms,
  F. Giordano et al., Scientific Reports 7, Article number: 3935, 2017
• Oxford Nanopore MinION Sequencing and Genome Assembly,
  H. Lu et al., Genomics, Proteomics & Bioinformatics, Volume 14, Issue 5, 265, 2016