I’m a postdoc researcher at the ILDA team at Inria.

I have a PhD in Computer Science from the Department of Computer Science of the University of Chile. My research interests are Information Visualization and Data Mining, mainly focused on spatio temporal data.

I love teaching and I believe learning should be for anyone. Because of this, I’m part of Niñas Pro(gramadoras), an initiative that motivate girls to learn to program to reduce the gender gap in STEAM. We aim to show to our girls that computer science is super fun (:

You can find my complete CV here.



  • Vanessa Peña-Araya, Anastasia Bezerianos, Emmanuel Pietriga. A Comparison of Geographical Propagation Visualizations. In CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 223:1-223:14, ACM, 2020.
    Paper, video, supplemental material, Medium post.
  • Eduardo Graells-Garrido, Vanessa Peña-Araya, Loreto Bravo, Adoption-Driven Data Sciencefor Transportation Planning: Methodology, Case Study, and Lessons Learned, Sustainability 2020.
  • Eduardo Graells-Garrido, Vanessa Peña-Araya, Toward An Interdisciplinary Methodology toSolve New (Old) Transportation Problems, In Companion Proceedings of the Web Conference 2020(WWW ’20). Association for Computing Machinery.


  • Vanessa Peña-Araya, Emmanuel Pietriga, Anastasia Bezerianos, A Comparison of Visualizations for Identifying Correlation over Space and Time, IEEE Transactions on Visualization and Computer Graphics.
    Paper, video, supplemental material.


  • Francisco J. Gutierrez, Jocelyn Simmonds, Nancy Hitschfeld, Cecilia Casanova, Cecilia-Sotomayor, Vanessa Peña-Araya, Assessing Software Development Skills Among K-6 Learners in a Project-Based Workshop with Scratch, ICSE SEET – Software Engineering Education and Training.


  • Vanessa Peña-Araya, Mauricio Quezada, Barbara Poblete and Denis Parra, Gaining Historical and International Relations Insight from Social Media: A Spatio-Temporal Context-Aware Model for News Events in Twitter. EPJ Data Science 6 (1), 25
    Paper, video and online demo.
  • Nan-Chen Chen, Rafal Kocielnik, Margaret Drouhard, Vanessa Peña-Araya, Jina Suh, Keting Cen, Xiangyi Zheng and Cecilia R. Aragon, Aeonium: Visual Analytics to Support Collaborative Qualitative Coding, Proceedings of the IEEE Pacific Visualization Symposium (PacificVis 2017).


  • Nan-Chen Chen, Rafal Kocielnik, Margaret Drouhard, Vanessa Peña-Araya, Jina Suh, Keting Cen, Xiangyi Zheng and Cecilia R. Aragon, Challenges of Applying Machine Learning to Qualitative Coding, CHI 2016 workshop on Human Centered Machine Learning (HCML 2016).


  • Mauricio Quezada, Vanessa Peña-Araya and Barbara Poblete, Location-Aware Model for News Events in Social Media, SIGIR 2015, pages 935-938.
  • Vanessa Peña-Araya, Mauricio Quezada and Barbara Poblete, Galean: Visualization of Geolocated News Events from Social Media, SIGIR 2015, pages 1041-1042.
  • Jazmine Maldonado, Vanessa Peña-Araya and Barbara Poblete, Spatio and Temporal Characterization of Chilean News Events in Social Media. SIGIR 2015 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’15), August 13, 2015, Santiago, Chile.


  • Alexandre Bergel, Vanessa Peña Araya, Increasing Test Coverage with Hapao, Science of Computer Programming, 79:86–100, 2014. Experimental Software and Toolkits (EST 4): A special issue of the Workshop on Academic Software Development Tools and Techniques (WASDeTT-3 2010).


  • Vanessa Peña Araya, Test Blueprint: An Effective Visual Support for Test Coverage, Proceedings of the International Conference on Software Engineering (ICSE), 2011, ACM Press. Student Research Competition track, pages 1140-1142.


In progress...