Ricardo Pinto Moura

Biografia

I have a degree in Mathematics from the Faculty of Sciences at the University of Porto; a doctorate in Statistics and Risk Management - Specialization in Statistics, from NOVA School of Science and Technology (FCT-NOVA), since 2016; and a Fulbright member since 2014. Currently, I am an integrated member of the Centre for Mathematics and Applications (NOVA Math) at FCT-NOVA, an integrated member of the Naval Research Centre (CINAV) of the Navy, and I collaborate on the Mar-IA Project, developed by NOVA IMS, in partnership with the Hydrographic Institute. At CINAV, I accumulated the position of Coordinator of Scientific Production of CINAV, was part of the team responsible for the construction of the new Naval laboratory of the Navy (CINAVLab), and was the point of contact (POC) for the protocol established between the Navy and NOVA Math in the scope of the project PREFERENTIAL - Improving spatial estimation and survey design through preferential sampling in fishery and biological applications, funded by the Foundation for Science and Technology (PTDC/MAT-STA/28243/2017). I have considerable professional experience, having held teaching positions in primary and secondary schools in the United Kingdom (2008/2009), in Guinea-Bissau (2005 - 2008), and in Portugal (2009 - 2012), and in higher education institutions, namely ISEG(2023-actual), FCT-NOVA (2012 - 2014, 2017/2018, and 2022), the Naval School (from 2016 - 2022), and the Military Academy (2016 - 2018). During this period, I supervised/co-supervised 15 master's thesis (Naval School, FCT-NOVA, and Instituto Superior Técnico) and am currently supervising/co-supervising another 2. Since 2016, I have been developing work in the field of Statistics, especially in the area of Statistical Disclosure Control, notably having published an article in the prestigious Journal of the American Statistical Association and having been a special guest to present my work at the US Census Bureau in Washington. I also develop work in the field of Decision Support Systems and Data Mining (with applications to naval military sciences and engineering and creation of complex datasets for the scientific community), mostly related to master's thesis, focusing on the processing of medium and large-sized databases, georeferenced data, and the application of machine learning techniques, especially using the Python language. From 2016 to 2019, I held the position of assistant to the Director of CINAV, with the particular responsibility of managing the application processes for research project funds.