news

Sep 08, 2024 Our paper titled “Unsupervised Anomaly Detection in Urban Water Networks Using a Hierarchical Deep Learning Model” has been accepted for publication at the prestigious International Congress of Machine Learning and Applications (ICMLA) 2024. I am honored to be presenting this research at the congress, which will take place in Miami in December 2024. You can check out the full project details here.
Jul 01, 2024 My Bachelor’s Thesis, “Efficient Algorithms for Linearly Solvable Markov Decision Processes” was successfully defended and received a score of 9.8. This achievement marks the completion of my studies in mathematical Engineering in Data Science, culminating in a final grade of 8.72/10. Looking forward to the next steps in the professional career with great excitement.
Dec 21, 2023 Selected as a Finalist in the 2023 AB Data Challenge (Aigües de Barcelona). Our team’s innovative Hierarchical Deep Learning model for anomaly detection in water usage data achieved strong results, placing us among the top 6 finalists.
Jul 01, 2023 Commenced a research internship at Universitat Pompeu Fabra’s Machine Learning & Artificial Intelligence Research Group, focusing on projects in Reinforcement Learning.
Dec 23, 2022 Completed an academic exchange program at the University of British Columbia, achieving top grades (A’s) in Machine Learning & Data Mining, Relational Databases and Finding Relationships in Data.
Jul 01, 2022 Awarded scholarships from both the European Union and the Catalan Government in recognition of my academic merit, supporting my academic exchange at the University of British Columbia.
Apr 23, 2022 Competed in the 2022 IPCP Southwestern Europe Regional Contest, representing Universitat Pompeu Fabra.
Aug 01, 2020 Awarded Academic Distinction for exceptional results on the PAU University Entrance Exams by Generalitat de Catalunya.
Jun 01, 2020 Graduated with Honors from Academica International Studies (2016-2020).
Jun 01, 2019 Earned a spot on the Academica International Studies Honor Roll for outstanding academic performance during the 2018-2019 academic year.