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Guidantonio Malagoli Tagliazucchi, PhD

Opinions expressed are solely my own and do not express the views or opinions of my employer.

Individual with 10 years of academic and industry experience in bioinformatics. Excellent skills in the advanced analysis of multiomics data. I can apply, statistical and machine learning approaches to analyse and extract relevant information.

  • Illumina
    • Staff Bioinformatics Scientist, 2024-Present
    • Senior Bioinformatics Scientist, 2022-2024
    • Bioinformatics Scientist II, 2021-2022
  • UCL, Department of Genetics
    • Post-Doc Computational Cancer Genomics Lab, 2019-2021
  • Hospital of Parma
    • Bioinformatician, 2016-2019
  • National Institute of Molecular Genetics
    • Bioinformatician, 2015
  • University of Modena and Reggio Emilia
    • Bioinformatician, 2014

Integration of multiomics data

Source: Malagoli Tagliazucchi G, et al. Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer. Nat Commun. 2023 Feb 11

Cancer Genomics

Cancer genomics
Characterization cancer microenvironement

Source: Malagoli Tagliazucchi G, et al. Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer. Nat Commun. 2023 Feb 11

Application of machine learning approaches for the identification of biomarkers

Biomarkers discovery
Hidden Markov Models to characterize stages of cancer
Application of machine learning strategies with different sources of input (SNVs/ CNAs etc)

Analysis of clinical and pharmacogenetics data

Analysis of clinical data time to event
Analysis of pharmacogenetic data

Source: Malagoli Tagliazucchi G, et al. Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer. Nat Commun. 2023 Feb 11