I am a PhD student at ELLIS Alicante within the ELLIS PhD & PostDoc Program, where I am fortunate to be supervised by Dr. Nuria Oliver. I also conducted a research visit at MPI-SWS, hosted by Dr. Manuel Gómez Rodríguez. My work explores the sociotechnical challenges of AI, with a focus on algorithmic fairness, Graph Neural Networks, and the intersection between technical design and AI regulation.
I work on developing Trustworthy AI systems that are both technically rigorous and socially responsible. My work spans from theoretical methods (e.g. develop algorithms and metrics for algorithmic fairness, fairness in graphs and social networks, human-AI Collaboration) to real-world impact (e.g. AI intersection with regulation and policy-making), having contributed to frameworks such as the development of the Spanish Charter of Digital Rights.
I’m also particularly interested in graph-based learning, with a focus on theoretical challenges in GNNs and how to better leverage graph structure to improve model performance. This has led to several publications and to our ICML 2024 tutorial on Graph Learning: Principles, Challenges, and Open Directions, co-organized with Ameya Velingker.
Prior to my PhD, I worked on ML/DL applications in life sciences, completing both my Bachelor’s and Master’s theses with honors. I also explored network science and graph theory, work that laid the foundation for my current research in graph-based fairness.
- AI & ML for Decision Making
- Algorithmic Fairness and Trustworthy AI
- Graph Neural Networks and Network Science
ELLIS PhD student in ML, started on Dec 2021
ELLIS Alicante and exchange at MPI-SWS
MSc in Data Science and Artificial Intelligence, 2021
Open University of Catalonia (Universitat Oberta de Catalunya)
BSc in Computer Science, 2019
Burgos University
Tutorials
Selected Publications
Talks
Awards
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Top Reviewer AISTATS 2025
2025 - Artificial Intelligence and Statistics 2025
💡 Selected as Outstanding Reviewer of AISTATS 2025 (Top 10 %)
London Geometry and Machine Learning Summer School 2024
2024 - London Geometry and Machine Learning Summer School 2024
💡 I have been selected to attend the LOGML 2024. Selected to take part as a contributor in the project: “GNNs for Relational Databases” with Joshua Robinson
Heidelberg Laureate Forum Young Researcher
2023 - 10th Heidelberg Laureate Forum
💡 I have been selected as one of the 200 young researchers to attend the 10th edition of the Heidelberg Laureate Forum Foundation in 2023 to spend a week attending talks and working together with more than 25 Laureates in the fields of Maths, Computer Science or Physics.
Top Reviewer AISTATS 2023
2023 - Artificial Intelligence and Statistics 2023
💡 Selected as Outstanding Reviewer of AISTATS 2023 (Top 10 %)
Top Reviewer ICML 2022
2022 - International Conference on Machine Learning 2022
💡 Selected as Outstanding Reviewer of ICML 2022 (Top 10 %)
FPU PhD Fellowship (Declined)
2021 - Spanish Goverment - Universities Ministry
📚 Doctoral Fellowship given by Spanish Goverment. FPU20/03687. Grants for pre-doctoral contracts for the completion of doctoral theses, in Spanish Universities.
Extraordinary Award of Degree in Computer Engineering
2019 - Council of the University of Burgos
📚 Award for the best student qualification record of the Computer Engineering Degree from the University of Burgos, academic year 18/19.
Prototype Award
2019 - OTRI (Information Transfer Office of Burgos University)
💡 Project awarded: BSc Thesis:Use of bio-markers extracted from the voice for the detection of Parkinson. Financial aid and one year of advice for the project.
Undergraduate Research Fellowship
2019 - University of Burgos
📚 Assistant research Fellowship in the Civil Engineering department of the University of Burgos, research group ADMIRABLE. Research in the project ‘Use of biomarkers extracted from the voicefor the detection of Parkinson’, which is my final degree project (BSc Thesis), evaluated with honors.
3rd place in Spin-Up CyL Contest
2017 - Spin Up - Junior Achievement
💡 3 months of advice and access to conferences in Google for Startups Campus
8 out of 10 MSc Subjects graded with honours, included Thesis
10 out of 39 BSc Subjects graded with honours, included Thesis
Scientific community
Co-Organizer
[Co-Chair] 4th Learning of Graphs (LOG) Conference 2025, 2025
[Co-Chair] ELLIS Doctoral Symposium 2022 - Alicante, Sep 2022
[Co-Chair] ELLIS HCML Reading Group: guest sessions and round tables - Virtual, bi-weekly sessions
[Associate Chair] ICML 2024 Associate Chair, Vienna, 2024
[Co-Organizer] 3rd Learning of Graphs (LOG) Conference 2024, Virtual, 2024
[Co-Organizer] Tutorial on ICML 2024 Conference: “Graph Learning: Principles, Challenges, and Open Directions”, Vienna, July 2024
[Co-Organizer] Tutorial on Graph Rewiring: from Theory to Applications in Fairness at the First Learning on Graphs Conference (LoG)- Online, Dec 2022
[Organizer and Moderator] Qualcomm+ELLIS Panel about GNN+HCML - Online, Feb 2022
- Round table: Manuel Gómez Rodríguez, Carlos Castillo, Efstatios Gavves and Pim de Haan
Program Committee member and Conference Reviewer
- ICML - 2022, (Top 10%), 2025 - International Conference on Machine Learning
- AISTATS - 2023 (Top 10%), 2024, 2025 (Top 10%) - Artificial Intelligence and Statistics
- NeurIPS - 2024 - Conference on Neural Information Processing Systems
- ICS2S - 2024, 2025 - International Conference on Computational Social Science
- FAccT - 2023 - ACM Conference on Fairness, Accountability, and Transparency.
- NeurIPS - 2022 - HCAI Workshop - NeurIPS 2022 workshop on Human Centered AI [PC member].
- WWW - 2022 - The Web Conference 2022 , ACM, New York.
- ECML-PKDD - 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Workshop Reviewer
- NeurIPS 2024 AFME Workshop - NeurIPS 2024 Algorithmic Fairness through the Lens of Metrics and Evaluation
- NeurIPS 2023 AFT Workshop - NeurIPS 2023 workshop on Algorithmic Fairness through the Lens of Time
- NeurIPS 2022 AFCP Workshop - NeurIPS 2022 workshop on Algorithmic Fairness through the Lens of Causality and Privacy [Link]
Journal Reviewer
- IEEE TNNLS 2023 - IEEE Transactions on Neural Networks and Learning Systems - Special Issue Graph Learning.
- PeerJ 2023, 2025 - PeerJ Computer Science.
- JMLR 2023 - Journal of Machine Learning Research
- Journal of Complexity 2022
- IEEE TCSS - IEEE Transactions on Computational Social Systems 2022.
Volunteer
- NeurIPS Workshop “Human-Centered AI” - Virtual, Dec 2021
Experience
- DATAHES: Data Analysis Techniques Applied in Health Environments Sciences.
- Data Analysis in web behaviour
- European project 2019-1-ES01-KA204-065615
- ADMIRABLE: Advanced Data MIning Research And [Business intelligence | Bioinformatics | Big Data] LEarning.
- Support VR research in data mining
- Support in MLaas platfomr: UBUMLaas
- Research in Network Analysis: 2 conference works
- Research in Parkinson’s Disease detenction through voice