I have been an assistant professor at the Dipartimento di Automatica e Informatica of the Politecnico di Torino, Italy, since October 2011. My research interests include self-learning methodologies, self-tuning algorithms, transparent algorithms for society, the design of innovative approaches to perform large-scale transparent analytics, novel and efficient data mining techniques for sensor readings, algorithms to extract high level abstraction of the mined knowledge (e.g., generalized patterns). I am currently the co-editor of a Springer book project titled “Towards Transparent Data Mining for Big and Small Data” with Dr Daniele Quercia and Prof. Frank Pasquale. I have published more than 80 scientific publications and has served as referee for many international journals. I have organized three international workshops on Big data analytics topics in 2013, 2015, and 2016 within the East-European Conference on Advances in Databases and Information Systems conference (ADBIS). I have served on the program committee of several international conferences and workshops on the data mining research area, and I was a technical reviewer for the call for projects managed by the Italian Ministry of Education, University and Research (2013, 2014). I have been involved in many research projects addressing different data mining research issues for heterogeneous domains (e.g., Industry 4.0, energy efficiency, Internet platforms) . I have been professor of the Databases and Business Intelligence courses at the Politecnico di Torino since 2011. I supervise the research activity of many graduate and PhD students. I got her master degree in Computer Engineering (in 2003) and my PhD (in 2007) from the Politecnico di Torino, Italy, and my master degree in Computer Science (in 2003) from the Universidad De Las Américas Puebla.