Scholar
Axel Brando
Google Scholar ID: sBv2dGAAAAAJ
Research Group Leader TAIES / HPES Lab / BSC-CNS. Former Industrial Ph.D. at BBVA and UB
Citations & Impact
Citations
204
H-index
8
i10-index
7
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published a journal article about building uncertainty models on top of black-box predictive APIs on June 4, 2020.
- Presented the paper 'Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians (UMAL)' at NeurIPS'19 on December 11, 2019.
- Presented the paper 'Uncertainty Modelling in Deep Networks Forecasting; Short and Noisy Series' at the Applied Data Science Track of ECML-PKDD 2018 on September 10, 2018.
- Gave a presentation about how to model all kinds of uncertainties using a deep learning model at the first BCN.ai session on May 13, 2018.
- Delivered a talk on large-scale machine learning for financial recommender systems at BGSMath on March 14, 2018.
Research Experience
- Industrial PhD student at Universitat de Barcelona (UB) - BBVA AI Factory since 2022, researching uncertainty modeling using deep learning.
- Research Engineer at Barcelona Supercomputing Center (BSC) since 2020, working on risk analysis for safety-critical real-time systems based on machine learning techniques.
- Big Data / Machine Learning research developer at IIIA - CSIC (Artificial Intelligence Research Institute) in 2017.
- Scholarship collaboration with the department of Applied Mathematics and Analysis at Universitat de Barcelona (UB) during 2016-2015.
- Research and experimental development on deep learning techniques at Barcelona Super-Computing Center (BSC) from 2015 to 2016.
Education
- Master's Degree in Artificial Intelligence from Universitat de Barcelona (UB), Universitat Politècnica de Catalunya (UPC), and Universitat Rovira i Virgili (URV) (2015 - 2017).
Background
- Computer Scientist and Mathematician. Research interests include uncertainty modeling, deep learning, and its applications in finance.
Miscellany
- Served as a course assistant for the short course 'Deep Learning from Scratch' organized by the DataScienceUB group at Universitat de Barcelona (UB), responsible for content review, theoretical and practical content preparation, and explanations.
Co-authors