andres masegosa

☰

“Chaos is merely order waiting to be deciphered.” José Saramago, Nobel Price in Literature 1998.

[Download CV]

research interests

Artificial Intelligence – Machine Learning – Probability Theory – Uncertainty Modelling – Bayesian Statistics – Probabilistic Programming – Variational Inference – PAC-Bayes theory

positions

  • 2021-. Associate professor in the Department of the Computer Science at Aalborg University (Copenhagen Campus - Denmark).
  • 2018-2021. Assistant professor in the Department of the Mathematics at the University of Almería (Spain).
  • 2017-2018. Senior Researcher in the Department of the Mathematics at the University of Almería (Spain).
  • 2014-2016. Post-Doc Researcher in the Department of Computer Science at NTNU (Norway).
  • 2009-2013. Post-Doc Researcher in the Department of Computer Science at University of Granada (Spain).
  • 2004-2009. PhD Student in the Department of Computer Science at University of Granada (Spain).

scholarships, grants

  • 2020-2021 – National Research Grant. Explainable Machine Learning: A Probabilistic Approach. Competitive National Call by the Spanish Ministry of Science. Co-PI. Funded with 62,000€.

  • 2019-2020 – José Castillejo Scholarship. Competitive National Call by the Spanish Ministry of Science. Funded with 15,000€ for a research visit at University of Copenhagen.

  • 2017-2018 – Early-stage Researcher Grant. Probabilistic Programming Languages for the Development of Intelligent Applications on Large Volumes of Data. Competitive National Call by the Spanish Ministry of Science. PI. Funded with 172,000€.

  • 2013-2013 - Young Researcher Scholarship. Local Call (University of Granada). Discretization of Expression Quantitative Trait Loci for Learning with Machine Learning Models. Funded with 3,000€.

  • 2005-2009 – PhD Scholarship. Competitive National Call by the Spanish Ministry of Science. Funded with 96,000€.

interships/research visits

  • August 2019 – January 2020 - Department of Computer Science. Univeristy of Copenhagen (DK). Host: Dr. Yevgeny Seldin Achievements: 2 conference papers accepted at NeurIPS 2020.

  • July-August 2017 and 2018 - Department of Computer Science. Technical University of Berlin (DE). Host: Dr. Shinichi Nakayima. Achievements: 1 conference paper accepted at ICCVW’17. 1 conference paper rejected at AISTATS’19.

  • March 2014 - August 2016 - Department of Computer Science. Aalborg University (Denmark). Host: Dr. Thomas Nielsen. Achievements: 2 conference papers accepted at ICML’17 and ECAI’16. 2 journal papers at IJAR and IEEE-CIM.

  • July-August 2012 - Department of Computer Science. University of Utrecht. Host: Professor Linda C. van der Gaag. Achievements: 1 conference paper rejected at UAI’13. 1 journal paper at IJAR.

  • July-December 2006 - Department of Computer Science. University of Glasgow (UK). Host: Professor Joemon Jose. Achievements: 2 papers at two top international conferences on Information Retrieval: ECIR’07 and SIGIR’07.

research projects

  • 06/2020 – 05/2023 - Explainable Machine Learning: A probabilistic Approach. Funder: Spanish Ministry of Science. Co-PI.

  • 01/2017 – 12/2019 - Probabilistic Programming Language for the Development of Intelligent Applications on Large Volumes of Data. Funder: Spanish Ministry of Science. PI.

  • 01/2014 – 12/2016 - AMIDST: Analysis of massive data streams. Funder: European Commission. Funder: EU FP7-ICT. Post-Doc.

  • 01/2013–12/2015 – Probabilistic Graphical Models for Scalable Data Analytics, Funder: Spanish Ministry of Science, Research Team.

  • 01/2013–12/2013 - Discretization of Expression Quantitative Trait Loci for Learning with Machine Learning Models, Funder: University of Granada, PI.

  • 01/2010–12/2012 - Data Mining with Probabilistic Graphical Models, Funder: Spanish Ministry of Science, Research Team.

  • 01/2008–12/2010 - Clados: Detection of Structural Anomalies of the Genome Using MGPs, Funder: Regional Government of Andalucía, Research Team.

  • 06/2009–12/2011 - Multimodal Interaction in Pattern Recognition and Computer Vision, Funder: Spanish Ministry of Science, Post-Doc.

  • 01/2007–12/2009 - Design of New Algorithms in Probabilistic Graphical Models, Funder: Spanish Ministry of Science, PhD Student.

  • 01/2004–12/2006 - Adaptive Learning of Probabilistic Graphic Models, Funder: Spanish Ministry of Science, PhD Student.

services to the community

I regularly review for international conferences such as NeurIPS, ICML, ICLR, ECML and PGM, and for journals like IJAR, Neurocomputing, Applied Soft-Computing, Information Sciences, Expert Systems with Applications, etc.

education

  • 2009 - PhD in Computer Science. University of Granada, 2009. Score: A+. Dissertation on Supervised Classification Models. Applications to Genomics and Information Retrieval.

  • 2008 - Master in Soft Computing and Intelligent Systems. University of Granada, 2008. Score: A+. Dissertation on Modelling Contextual Relevance to measure the impact of Context.

  • 2007 - Diploma of Advance Studies in Probabilistic Graphical Models for Artificial Intelligence and Data Mining. University of Granada, 2007. Score: A+. Dissertation on a Semi-naive Bayes classifier with grouping of cases.

  • 2005 - Diploma of Advance Studies in Soft Computing and Intelligent Systems. University of Granada. Dissertation on Gene Data Classification. Score: A.

  • 2004 - Computer Engineering Bachelor Degree. University of Granada.