Methods for Unstructured and Difficult to use Data (MUDD) Lab
Educational Statistics and Research Methods
Olushola O. Soyoye
Olushola O. Soyoye is a Ph.D. in Educational Statistics and Research Methods student in the School of Education at the University of Delaware. His research interests include missing data, as well as the application of artificial intelligence (AI) and statistics to data in education, health and social policy.
Born and raised in Lagos, Nigeria, he received his bachelor’s and master’s degrees in mathematics education from Tai Solarin University of Education, Ijebu-Ode, Nigera and the University of Illinois, Urbana-Champaign, respectively. He has taught mathematics at several academic levels, most recently as as an instructor at the University of Illinois in Urbana-Champaign.
- M.S, Teaching of Mathematics, University of Illinois, Urbana-Champaign, IL
- BS.Ed, Mathematics Education, Tai Solarin University of Education, Ijebu-Ode, Nigera
- Graduate Research Assistant, Methods for Unstructured and Difficult to use Data (MUDD) Lab, School of Education, University of Delaware, 2021–present
- Graduate Teaching Assistant, University of Illinois, 2018–2020
- Numeracy Teacher, Meadow Hall, Lagos, Nigeria, 2014–2016
Honors and Awards
- Second-place winner of the Carol A. Ammon Case Competition, University of Delaware, 2022
- Among teachers ranked excellent by their students, University of Illinois at Urbana-Champaign, 2020
- Best Graduating Student, Department of Mathematics, Class of 2010/2011, Tai Solarin University of Education, 2011
- Bronze Medalist, National Mathematics Competition for University Students (NAMCUS), Abuja, Nigeria, 2010