I am Oluwasegun Taiwo Ojo. I grew up in Akure, Nigeria, a town in south-western Nigeria. I have always wanted to be a professor for as long as I can remember, even before I knew what professors do. I just wanted to be like my father’s friend who was a professor at the university in my town, the Federal University of Technology, Akure (FUTA).
I ended up studying statistics at the same university after which I got an African Institute for Mathematical Sciences Next Einstein Initiative (AIMS-NEI) scholarship to do a master’s degree in mathematical sciences at the AIMS centre in Cameroon. I finished at AIMS-Cameroon in 2016 and freelanced a bit as data analyst on Upwork where I helped clients tackle some difficult data wrangling and analysis projects.
Currently, I am Research Assistant at IMDEA Networks Institute in Leganes, Madrid, and a Mathematical Engineering Ph.D. student at the Universidad Carlos III de Madrid. My research focus mainly on outlier detection methods and tools used in functional data analysis (FDA).
I am a big fan of R and it’s my favourite software for processing data. I have recently been dabbling into a bit of C++ too because of it’s speed and memory management. I also love reading about stats and maths and tinkering with computers. Below you can find a couple of current projects I am involved in:
Detecting and Classifying Outliers in Big Functional Data.
A manuscript describing a scalable method (called FastMUOD) to detect and classify outliers in functional data. (Under review: Arxiv link).
I am involved in the CoronaSurveys project led by my supervisor Antonio Fernandez Anta at IMDEA Networks. A brief overview of CoronaSurveys can be found in our KDD Humanitarian Mapping Workshop 2020 paper on Arxiv.
I am currently building an R package for some functional data analysis methods.
Get in touch through my email.