9 October 2022
2nd Prize, 2022 IAOS Young Statisticians Prize Competition
Juan Carlos Galvez, was in adolescence, especially interested in economics and forecasting, which led him to study for an undergraduate in economics and finance. During the process, he realized that this main interest was in econometrics and that he needed stronger mathematical background. Therefore, he decided to study a master's degree in mathematical engineering.
After that he received a scholarship to work for Banco Santander in the IT department which included a master’s degree in data science, this sparked this curiosity for machine learning. He enrolled in some Kaggle competitions and started to learn more about data science on historisch own.
Finally, he decided to leave this position at the bank and study to get a civil servant position in the higher body of statisticians of Spain, in order to apply all knowledge acquired to what he considers a noble cause.
Jorge Fernandez
Lasai Barreñada finished in 2021 an EMOS (European master in official statistics). He started working in Statistics Spain in November 2020 with a postgraduate scholarship where he has been in the SDG department. He has always had an interest in new innovative methodologies and for this reason he joined the BCAM (Basque centre of applied Mathematics) as a researcher in machine learning for COVID-19 prognosis. In this job he had to build machine learning models with real health data to predict the risk probability of a COVID-19 patient when entering a hospital. Now he would like to continue this academic career by finding a PhD project related to official statistics or machine learning.
