Imeh Williams

Imeh Williams
Data Scientist,
IXL Learning

Imeh Williams is a data scientist at IXL Learning. He was a research associate for PACE while doctoral candidate in education administration and policy analysis at Stanford University. He uses quasi-experimental methodology to study principal and teacher labor markets. In particular, his research explores the effect of accountability sanctions on principal turnover and compensation and the role race in the recruitment and selection of principals. Before his doctoral studies, He worked for six years as a research associate in Washington, DC, where he managed and supported studies of youth development programs, and school reform centered on improving instructional practices. Williams received his BA in computer science from Brown University.

Publications by Imeh Williams
California’s struggle to close the racial, ethnic, and socioeconomic achievement gaps among its groups of students mirrors that of every other state. But compared with other states, the challenge in California is by every measure more daunting. Gaps…