Andrea Rubbi

Andrea Rubbi

Intern

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  • Timeline

  • About me

    Computational Biologist

  • Education

    • ITIS E. Fermi

      2012 - 2017
      Chemistry 100/100
    • University of Cambridge

      2023 - 2027
      Doctor of Philosophy - PhD Biological Sciences

      Supervisors: Miguel L. Martins & Manolis Kellis

    • Università degli Studi di Milano

      2020 - 2022
      Molecular Biotechnology and Bioinformatics 110/110 cum laude
    • Universiteit Utrecht

      2021 - 2022
      Exchange student Machine Learning - Artificial Intelligence
    • Alma Mater Studiorum – Università di Bologna

      2017 - 2020
      Genomics 110/110 cum laude
  • Experience

    • Generon S.p.A.

      Apr 2016 - May 2016
      Intern

      Lab experience, mainly performing DNA extractions and PCR analyses.

    • Doulix

      Apr 2020 - Jul 2020
      Bioinformatician

      Doulix is a synthetic biology toolkit to design, validate and synthesize custom synthetic biology constructs. Doulix allows designing custom constructs by assembling standard biological parts called Biomodules into multipartite plasmids. Facing an upscale process, I have implemented automized protocols for the analysis and production of intermediate products.

    • Prinses Máxima Centrum voor kinderoncologie

      Sept 2021 - Jun 2022
      Bioinformatician

      My research was mainly focused on the best strategies we can apply, using machine learning, to uncover the correlation between specific mutagen events and the relative mutational signatures. My goal was to further our knowledge of the biological processes responsible for the etiology of cancer.

    • European Bioinformatics Institute | EMBL-EBI

      Oct 2022 - Apr 2023
      Bionformatician

      Modern methods for the inference of phylogenetic trees produce large datasets. The goal of my work is to implement a software/library for the efficient analysis of these collections.

    • MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

      Apr 2023 - Oct 2023
      Computational Biologist

      Development of contextualized ML models for the analysis of single cell data of patients with neurodegenerative diseases. Analysis of DEGs and affected pathways.

    • University of Cambridge

      Oct 2023 - now
      PhD Researcher

      Supervisors: Miguel L. Martins & Manolis Kellis

    • MRC Toxicology Unit

      Oct 2023 - now
      PhD Researcher
    • Wellcome Sanger Institute

      Jan 2024 - now
      Computational Biologist
    • MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

      Jan 2024 - now
      Research Affiliate
    • Helmholtz AI

      Apr 2024 - now
      Visiting PhD Student
  • Licenses & Certifications

    • Big Data, Genes, and Medicine

      The State University of New York
      Nov 2020
      View certificate certificate
    • Parallelization with MPI

      Technische Universität Wien
      Apr 2023
      View certificate certificate
    • Neural Networks and Deep Learning

      DeepLearning.AI
      May 2020
      View certificate certificate
    • Deep Learning Specialization

      DeepLearning.AI
      Nov 2020
      View certificate certificate
    • Sample-based Learning Methods

      Alberta Machine Intelligence Institute (Amii)
      Apr 2023
      View certificate certificate
    • Fundamentals of Scalable Data Science

      IBM
      Apr 2021
      View certificate certificate
    • Structuring Machine Learning Projects

      DeepLearning.AI
      Nov 2020
      View certificate certificate
    • Sequence Models

      DeepLearning.AI
      Nov 2020
      View certificate certificate
    • Shared memory parallelization with OpenMP

      Technische Universität Wien
      Apr 2023
      View certificate certificate
    • Convolutional Neural Networks

      DeepLearning.AI
      Nov 2020
      View certificate certificate
    • Fundamentals of Reinforcement Learning

      Alberta Machine Intelligence Institute (Amii)
      Apr 2023
      View certificate certificate
    • Visualizing biological data (VIZBI 2023)

      EMBL
      Apr 2023
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      DeepLearning.AI
      May 2020
      View certificate certificate
  • Honors & Awards

    • Awarded to Andrea Rubbi
      Borsa Cavalieri del lavoro Emilia Romagna Cavalieri del lavoro Emilia Romagna Sep 2017
  • Volunteer Experience

    • Active member

      Issued by AGESCI on Jan 2007
      AGESCIAssociated with Andrea Rubbi