Alberto Arrigoni

Alberto Arrigoni

Milano, Lombardia, Italia
3840 follower Oltre 500 collegamenti

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Informazioni

I work in a multisciplinary team to build AI solutions and products for internal/external customers. We develop tailored machine-learning algorithms and production systems working closely with all the major business units. Topics I have been working on include health claims risk estimation, pricing and computer vision-driven claims damage estimation.
I have a PhD from the University of Milan Bicocca and prior to joining Generali I was a senior data scientist at Pirelli, staff data scientist at the National Institute of Molecular Genetics (where I developed models for the analysis of genomic data), as well as a Fulbright student at the Santa Clara University (CA).

Articoli di Alberto

Attività

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Esperienza

Formazione

  • Grafico

    -

    Project title: "Development of new tools for the characterization of regulatory processes in human lymphocyte subsets using next-generation sequencing (NGS) data from transcriptome and genomic analyses".
    - Identification of non-coding RNAs from RNA-sequencing data using machine learning approaches built on linguistic features (SVMs)
    - GLMs for the analysis of counts data (Poisson, Neg. Binomial), linear mixed models, statistical inference for the detection of differentially expressed…

    Project title: "Development of new tools for the characterization of regulatory processes in human lymphocyte subsets using next-generation sequencing (NGS) data from transcriptome and genomic analyses".
    - Identification of non-coding RNAs from RNA-sequencing data using machine learning approaches built on linguistic features (SVMs)
    - GLMs for the analysis of counts data (Poisson, Neg. Binomial), linear mixed models, statistical inference for the detection of differentially expressed genes, survival analysis, identification of noncoding RNAs using ML approaches (logistic regression, boosting), unsupervised analysis for the detection of recurrent expression patterns in genomic data

  • -

    BEST Entrepreneurship Program, Santa Clara, California, USA

  • -

    Thesis title: “Identification of putative inhibitors of Cdc34 acidic loop: a computational investigation by molecular dynamics, virtual screening and docking approaches”.
    Chemical compounds in-silico simulations: Monte Carlo, Simulated annealing, Genetic algorithms, stochastic gradient descent for structure/protein-protein interface optimization

Pubblicazioni

  • Transcriptional Landscape of Human Tissue Lymphocytes Unveils Uniqueness of Tumor- Infiltrating T Regulatory Cells

    Immunity

    Tumor-infiltrating regulatory T cells can suppress effector T cells specific for tumor antigens. De Simone et al. (2016) demonstrate that tumor-infiltrating Treg cells display specific gene signatures that were also validated at the single-cell level. These data can contribute to dissect the molecular networks underlying the biology of tumor-infiltrating Treg cells. As part of the IHEC consortium, this study integrates genetic, epigenetic, and transcriptomic profiling in three immune cell types…

    Tumor-infiltrating regulatory T cells can suppress effector T cells specific for tumor antigens. De Simone et al. (2016) demonstrate that tumor-infiltrating Treg cells display specific gene signatures that were also validated at the single-cell level. These data can contribute to dissect the molecular networks underlying the biology of tumor-infiltrating Treg cells. As part of the IHEC consortium, this study integrates genetic, epigenetic, and transcriptomic profiling in three immune cell types from nearly 200 people to characterize the distinct and cooperative contributions of diverse genomic inputs to transcriptional variation.

  • Next-generation sequencing analysis of long non-coding RNAs in CD4+ T cell differentiation

    Methods in Molecular Biology

  • De novo transcriptome profiling of highly purified human lymphocytes primary cells

    Methods in Molecular Biology

  • The long intergenic noncoding RNA landscape of human lymphocytes highlights the regulation of T cell differentiation by linc-MAF-4.

    Nat Immunol. 2015 Jan 26. doi: 10.1038/ni.3093

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  • Inhibitors of the Cdc34 acidic loop: A computational investigation integrating molecular dynamics, virtual screening and docking approaches.

    FEBS Open Bio.

  • Loop 7 of E2 enzymes: an ancestral conserved functional motif involved in the E2-mediated steps of the ubiquitination cascade.

    PLoS One

  • xPyder: a PyMOL plugin to analyze coupled residues and their networks in protein structures.

    J Chem Inf Model.

  • C-Terminal acidic domain of ubiquitin-conjugating enzymes: a multi-functional conserved intrinsically disordered domain in family 3 of E2 enzymes.

    J Struct Biol.

  • Atomistic insights into regulatory mechanisms by post-translational phosphorylation employing molecular dynamics

    Curr Phys Chem

Corsi

  • Analysis of high-throughput sequencing data

    EMBO Practical Course

  • School on Scientific Data Analytics and Visualization

    Cineca course

Progetti

Votazione esame

  • TOEFL

    Votazione: 110/120

Lingue

  • English

    Conoscenza madrelingua o bilingue

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