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Roger Mor is a Big Data astrophysicist, finishing the PhD at University of Barcelona under the supervision of Francesca Figueras and Annie Robin (Besançon’s Observatory). During his PhD, he has been studying the structure and evolution of the Milky Way, focused in the derivation of the Star Formation History and the stellar Initial Mass Function of our Galaxy. Throughout the development of his PhD thesis, he has gain expertise on Bayesian statistic, Big Data techniques, the Besançon Galaxy Model and the most modern and complete full sky observations (e.g. Gaia data). His recent work published in Astronomy&Astrophysics has been highlighted in the Nature “Research Highlights”.
He is member of the Gaia Data Processing and Analysis Consortium (DPAC), working on science enabling applications and Data Mining, where he is contributing to the development of the Gaia Data Analytics Framework (GDAF) platform. This Big Data infrastructure aims to provide the user the necessary tools to deal with the huge amount of data provided by the ESA mission Gaia. Moreover, he is collaborating in Gaia data validation tasks, where he made a relevant contribution to the team that has build the new Hess diagram for the Gaia Object Generator.
During his Bachelor Degree he was accepted at the ESAC trainee project in the 2010 call, where he was working at European Space Astronomy Centre, with the XMM-Newton team, under the supervision of Norbert Schartel. He also gets the grant from the Summer Undergraduate Research Program of the University of Leicester in 2009, where he was working in the X-ray astronomy field, under the supervision of Sean Farrell.
Moreover, he is teaching Maths, Python and Astronomy in the Physics Degree of the University of Barcelona.
Most relevant publications: