Experience

  1. Data scientist / Postdoc researcher

    Catalan Institute of Oncology (ICO)

    I was in charge of several epidemiological studies on how microbiome and previous diseases influence the risk of cancer. My role entailed mentoring our Ph.D. students and performing statistical analyses and classical machine learning approaches, for the following projects:

    • inSCAN: Big data project - Extraction, cleaning and statistical analysis of the PADRIS dataset (electronic health records from 150000 cancer cases diagnosed in Catalonia between 2012-2017, plus 1.5 million matched controls).
    • FUSOMAP: Statistical analysis of the prevalence, geographical distribution, and prognostic risk of F. nucleatum infection.
    • Fundació La Marató de TV3 (Ref.202127-31): Microbiota composition as risk predictor in cancer patients infected with COVID.

  2. Machine Learning researcher

    Universitat de Girona/MJN
    I worked for the University of Girona in collaboration with the start-up MJN. Our goal was prototyping a support device for early monitoring and detection of Alzheimer. We used Python to train machine learning models from EEG time series data.

Education

  1. PhD in Genetics

    Universitat Autònoma de Barcelona
    My dissertation, Kernel approaches for complex phenotype prediction, was focused on optimizing supervised and unsupervised machine learning methods for biological problems, especially regarding HIV drug resistance and metagenomics analysis. I presented a paper at the ‘IWBBIO 2019’ conference, and my contributions were published in 2 peer-reviewed Q1 journals.
    Read Thesis

  2. Master in Biological Anthropology

    Universitat de Barcelona

  3. BSc Biotechnology

    Universitat Autònoma de Barcelona
Languages
100%
Catalan
100%
Spanish
80%
English