I am a Ph.D. in Information and Communication Technologies, currently working as a Postdoctoral Research in the P2Pmodels project at the Complutense University of Madrid (UCM). At UCM, I conduct research on how block-chain-based applications can improve the inclusiveness and democratization of online collaborative communities.
I have a background in Informatics Engineering. I have more than ten years of experience developing software. I have expertise running end-to-end data science projects in academic settings. From data collection to data preparation and exploration, to feature engineering, to model training, evaluation, and tuning, I have passed through all phases of machine learning projects. Also, I have experience conducting qualitative research (e.g., surveys, interviews, content analysis, field observations).
My research interests include participatory technologies, crowdsourcing, collective intelligence, block-chain, applied machine learning, and natural language processing.
Before joining the UCM, I have worked as a Postdoctoral Research at the Barcelona Supercomputing Center (BSC). Also, I have been a Data Scientist Fellow at the University of Chicago, in Chicago, USA. The rest of my past experiences included periods as Fellow Researcher in the Department of Electronics and Informatics at the Catholic University of Asuncion, Paraguay, and periods as Visiting Researcher in the Information Analytics group at Hewlett-Packard Labs, in Palo Alto, California, USA, and in the Data and Democracy Initiative of the Center for Information Technology Research in Interest of the Society (CITRIS) at the University of California, Berkeley, California, USA.