Biography
I have lived and worked in different countries, which has given me a global outlook and a broad perspective. Experiencing different cultures and ways of working has made me more adaptable, creative, and curious, always ready to take on new challenges and solve problems in different ways.
I am fascinated by how we can assess 21st-century skills in a more dynamic and meaningful way, capturing real-world problem-solving through digital interactions and adapting to the fast-changing world. This curiosity has led me to explore different fields, ranging from computational linguistics to information retrieval and data-driven skill assessment. My research focuses on how machine learning and data science can be used to assess competencies of different nature across various contexts.
Outside of work, I love cooking, baking, and travelling. I enjoy cross-stitching, reading, and occasionally going for a hike. I am also into puzzles and board games, and on top of that, I collect ducks.
Interests
- Artificial Intelligence
- Computational Linguistics
- Information Retrieval
- Data Mining
- Learning Analytics
Education
-
PhD in Computational Social Science (Cum Laude, International Doctorate), 2024
University of Murcia
-
MSc Data Science, 2020
University of Murcia & University of Santiago de Compostela
-
BSc in Computer Science, 2018
Moscow Power Engineering Institute
Publications
(2025).
A framework and case studies for data-driven computer-based diagnostics of competencies and capabilities across contexts.
In Computer-Based Diagnostics and Systematic Analysis of Knowledge - Critical Reflections and Advancements.
(2025).
Sequential pattern mining on Cyber Ranges for a computer-based diagnostic of cybersecurity skills.
In Computer-Based Diagnostics and Systematic Analysis of Knowledge - Critical Reflections and Advancements.
(2024).
Bridging the Gap: Cyber Defence Skills for the Future.
In 2024 IEEE Global Engineering Education Conference (EDUCON).
(2023).
Identifying Professional Photographers Through Image Quality and Aesthetics in Flickr.
In Expert Systems.
(2023).
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game.
In ACM Transactions on Knowledge Discovery from Data.
(2023).
Annotated Flickr dataset for identification of professional photographers.
In Data in Brief.
(2023).
Towards the Identification of Experts in Informal Learning Portals at Scale.
In Proceedings of the Tenth ACM Conference on Learning @ Scale.
(2023).
Computational approaches to detect experts in distributed online communities: a case study on Reddit.
In Cluster Computing.
(2022).
A Survey on Data-Driven Evaluation of Competencies and Capabilities Across Multimedia Environments.
In International Journal of Interactive Multimedia and Artificial Intelligence.
(2022).
Using Online Digital Data to Infer Valuable Skills for the Modern Workforce.
In Handbook of Research on New Media, Training, and Skill Development for the Modern Workforce.
(2022).
A Data-Driven Machine Learning Approach for Detecting Albedo Anomalies on the Lunar Surface.
In 53rd Lunar and Planetary Science Conference.
(2021).
Data-Driven Performance Prediction in a Geometry Game Environment.
In GoodIT ‘21 - Proceedings of the Conference on Information Technology for Social Good.
(2021).
Exploring the Affordances of Multimodal Data to Improve Cybersecurity Training with Cyber Range Environments.
In VI Spanish Cybersecurity Research Conference.
Experience
Research Intern
ETH Zurich
- At Future Learning Initiative, I was analyzing the students’ problem-solving strategies in the introduction to data science course based on the screen recordings in order to understand the interplay of cognition and affect in open-ended and complex problem-solving.
- Ongoing effort towards publishing results.
Data Science Intern
women++
- Together with my team, I worked on reconstructing the OpenEdu.ch educational platform for Switzerland.
- Created an ontological definition that describes the content found at OpenEdu.ch that will improve Wikidata learning material organization and reachability.
Google Summer of Code Student
Machine Learning for Science (ML4Sci)
- Used machine learning techniques to identify relationships between planetary mapped datasets in order to provide a deeper understanding of planetary surfaces and to have predictive power for planetary surfaces with incomplete datasets.
- Built interactive tool for analyzing the Moon. Ongoing effort towards publishing results.
Deep Learning Research Intern
University of Sydney
- Developed a model for detecting various marine life objects based on state the art in Convolutional Neural Networks.
- Achieved accuracy of up to 85% in recognition of the most important groups of objects.
Data Scientist Intern
study.eu
- Redesigned data scraping tool for gathering data of study programmes across Europe and integrated the extracted data in the internal search engine. The number of programs covered by the system expanded from 4.000 to 20.000.
- Data analysis of user interest across programs based on multiple patterns, resulting in valuable insights for program discovery and advertised partners.
Research Intern
Taipei Medical University
A systematic review of novel approaches for applying ML to Medicine with a strong focus on COVID-19 spread prevention.
Research Intern
University of Piraeus
- Developed novel time-series approach for link prediction in temporal graphs relying on Support Vector Machines.
- Achieved accuracy of up to 80% in link prediction relevant datasets such as IMDB.
News
Program committee of the European Conference on Technology Enhanced Learning
Mentor for Refugee seeking higher education in Switzerland
Journal Reviewer
Reviewed manuscripts for Journal of Learning Analytics, Sustainability, Scientific Reports, Behavioral Sciences, and Artificial Intelligence Review.
Award for the contribution of women pursuing doctoral studies in the area of computer science in Spain
Awardee of the Accesit in the SCIE-ZONTA-SNGULAR awards. Its main objective is to recognize the outstanding contributions of women who are currently pursuing a doctoral program in computer science. In addition, it seeks to encourage their start in a research career and create references for new generations, thus contributing to reducing the gender gap in the field of computing in Spain.
Participant in the 17th Summer School on Technology Enhanced Learning
Conference Reviewer
Reviewed manuscripts for Learning Analytics and Knowledge Conference, International Conference on Artificial Intelligence in Education, and IEEE Global Engineering Education Conference.