Leading Data Analysis and Processing Of COVID-19 Infection Estimates in Spain
Nigerian born Oluwsegin Taiwo Ojo is an AIMS-Cameroon alumnus of the 2015/2016 cohort. He joined AIMS in 2015 after completing a Bachelor’s degree in Statistics in Nigeria. After gaining an advanced-level understanding of Mathematics and the theoretical concepts necessary to make sense of probability and statistics at AIMS- Cameroon, Taiwo returned home where he started the grueling task of applying for scholarship positions. In June 2017, he was awarded 02 scholarship positions in Spain and Turkey. Settling for the former, Taiwo is currently a fully-funded research assistant at the Instituto Madrileño de Estudios Avanzados (IMDEA) Networks, a research institute located in Leganes, Madrid, Spain. He is also enrolled in the Mathematical Engineering Ph.D. Program of the Universidad de Carlos III de Madrid (UC3M) where his thesis research work is focused on Fast Outlier Detection and Visualization Techniques for Functional Data Analysis (FDA). In addition to his work on functional data analysis, he is also involved in other research projects with Prof. Antonio Fernandez Anta and one of these involves the analysis of blockchain data from different popular cryptocurrency platforms. Taiwo is most recently involved in the data analysis and processing aspect of a COVID-19 project where, in collaboration with his supervisor, Prof. Antonio Fernandez Anta, and a team of other researchers from different countries, he writes codes to generate the different estimates of the actual number of people infected with COVID-19 in Spain. This project has been covered in the mainstream media across European countries e.g. on Publico Portugal, DiCYT, El Diario, and El Pais among others.