About
Summary
PhD in Computer Science with five years of experience in research, teaching at university level and with focus on software engineering, agile methods, adaptive learning environments and human factors on these fields.
Positions
PhD Student Apr 2012 -
Education
Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina 2012 - 2016
Field of study: Computer Science
Degree: PhD in Computer Science
PhD thesis: "An Adaptive Approach for Training Software Developers"
Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina 2006 - 2012
Field of study: Computer Science
Degree: System Engineer
Final project: "A taxonomy-based approach for fault localization in Service-Oriented applications"
Skills
Software Engineering: Empirical Software Engineering, Planning and Estimation, Process mining,
Measurement and Analysis, CMMi, Scrum, Systematic Literature Reviews
Quantitative Analysis: Meta analysis, Educational Experimental Designs, Psychometric Measurement, Questionnaire Development and Analysis
Datamining Tools: Weka, Knime, Rapidminer, ProM
Frameworks: Unity3D, Smartfox, Yii, Eclipse, Qt
Programming: Java, Javascript, HTML, PHP, C/C++, C#
Scientific: R project, Gnuplot, SPSS, LATEX
Professional interests
My research interests lie at the intersection between software engineering and education, mainly focusing on adaptive environments for aiding students in their learning process. I have a strong interest in human factors and psychological issues involved in technology enhanced learning. In particular, I am interested in not only using artificial intelligence for building adaptive environments but also in measuring the learning outcomes when these environments are used in real contexts. Moreover, I have most recently focused on applying adaptive environments for teaching agile methods like Scrum.
CV
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