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. He possesses a diverse research portfolio spanning machine learning, causal inference, Bayesian methods, data mining, and missing data analysis. His primary focus lies in developing advanced methodologies to extract insights from complex educational datasets, employing both machine learning algorithms and statistical modeling techniques.

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, Nigeria and the University of Illinois, Urbana-Champaign, respectively. 

Education

• M.S, Teaching of Mathematics, University of Illinois, Urbana-Champaign, IL
• BS.Ed, Mathematics Education, Tai Solarin University of Education, Ijebu-Ode, Nigeria

Professional Experience

• Graduate Research Assistant, Math Methods and Motivation (M3) Lab, School of Education, University of Delaware, 2023-Present 
• Instructor of Record, School of Education, University of Delaware, 2023
• Graduate Research Assistant, Methods for Unstructured and Difficult to use Data (MUDD) Lab, School of Education, University of Delaware, 2021–2023
• 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