Work History

  • 2020

    Research Engineer (RE2)

    Barcelona Supercomputing Center (BSC)

    (2020-present) | Barcelona

    Research and risk analysis for safety-critical real-time systems based on Machine Learning techniques.

  • 2017

    Data Scientist Industrial PhD student

    BBVA Data & Analytics S.L. - Universitat de Barcelona (UB)

    (2017-present) | Barcelona

    Research about Uncertainty Modelling by using Deep Learning motivated by the bank problems.

    ...

    2020-06-04 -- Journal article about Building uncertainty models on top of black-box predictive APIs.

    2019-12-11 -- NeurIPS'19 presentation of the article 'Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians' (UMAL). Article, Code repo, Video. Introduced here and here.

    2019-10-01 -- Fall'19 BCN.ai. Presentation about Aleatoric Uncertainty Modelling by using UMAL.

    2018-09-10 -- Regarding the aggregated time-series financial forecasting system the article entitled 'Uncertainty Modelling in Deep Networks Forecasting; Short and Noisy Series' was presented at the Applied Data Science Track of ECML-PKDD 2018 and here. The proposed model was afterwards used in the White Paper (collaboration between Google Cloud - BBVA Data Analytics) and introduced here and here.

    2018-05-13 -- First BCN.ai session, presenting how to model all kinds of uncertainties by using a Deep Learning model.

    2018-03-14 --BGSMath Presentation about Large-scale machine learning for financial recommender systems.

  • 2017

    Big Data / Machine Learning research developer

    IIIA - CSIC (Artificial Intelligence Research Institute)

    (2017) | Bellaterra

    Research developer in a industrial research project.

  • 2016

    Scholarship collaboration AAD with the department of Applied Mathematics and Analysis

    Universitat de Barcelona (UB)

    (2016) | Barcelona

    Collaborating in support tasks with the university teachers.

  • 2016

    Course assistant in the Deep Learning from Scratch: A short Course

    DataScienceUB group, Universitat de Barcelona (UB)

    (2016) | Barcelona

    Content review.

    Teacher assistant during sessions.

    Preparation and explanation of the theoretical and practical content of style transfer of images by using neural networks.

  • 2015

    Scholarship collaboration with the department of Applied Mathematics and Analysis

    Universitat de Barcelona (UB)

    (2015-2016) | Barcelona

    Design and experimentation in new databases.

    Building of new models of deep learning by using Caffe and TensorFlow.

    Introducing to new techniques such as Style Transfer Image, Hallucinations, Dreaming by using deep learning algorithms.

  • 2015

    Research and experimental development on deep learning techniques

    Barcelona Super-Computing Center (BSC)

    (2015-2016) | Barcelona

    Techniques to reconstruct the input by using the activations of the neural network.

  • 2015

    Building and training artificial deep learning techniques by using Caffe

    Universitat de Barcelona (UB)

    (2015) | Barcelona

    Building a new model of deep learning improving the results obtained in my final degree dissertation.

Education History

  • 2017

    Universitat de Barcelona (UB), Universitat Politècnica de Catalunya (UPC), Universitat Rovira i Virgili (URV).

    Master's Degree , Artificial Intelligence

    (2015 - 2017)

    Master in Artificial Intelligence

  • 2015

    Universitat de Barcelona (UB)

    Bachelor's Degree , Computer Engineering

    (2009 - 2015)

    Dual EHEA Bachelor's Degree in Mathematics and Computer Engineering

  • 2015

    Universitat de Barcelona (UB)

    Bachelor's Degree , Mathematics

    (2009 - 2015)

    Dual EHEA Bachelor's Degree in Mathematics and Computer Engineering