O’Neil begins a Post-Doctoral Fellowship at the University of Michigan in 2018.  She is a presently a Pre-Doctoral Research Fellow at the University of Michigan Law School.

O’Neil is a Ph.D. Candidate in Sociology at the University at Albany. Her primary research interests explore racial and ethnic disparities in wealth. Her research aims to reduce racial and ethnic stratification by generating data driven evidence to inform social policy. Her secondary interests fall under health disparities by race, class and gender. Her developing interests examine how family courts perpetuate and extend race, class and gender disparities. In sum, her research crosses disciplinary boundaries, seeking to interpret mechanisms that form race, class and gender inequalities and offer solutions for achieving social justice and narrowing these gaps. Her primary adviser is Nancy Denton.

O’Neil is a Visiting Graduate Student at the University of Michigan in the Department of Sociology and Population Studies Center at the Institute for Social Research and was a recipient of the Women’s International Leadership Fellowship. She is sponsored at the Population Studies Center by Professor Emeritus Reynolds Farley. Prior to matriculating to the University at Albany, O’Neil contributed to several program evaluations as a Data Scientist II for the City of New York with the Manhattan District Attorney’s Office and the Human Resource Administration (HRA)-Department of Social Services under Mayor Michael Bloomberg. HRA is the nation’s largest social service agency with a budget of $9.7 billion and prides themselves on meeting the needs of the most diverse clientele nationwide. O’Neil also worked as a Data Scientist for the world’s leading investment bank, producing firm metrics on employees in 40 countries and survey research for national periodicals such as Black EnterpriseLatina Style and Working Mother.  O’Neil plans to complete her Ph.D. by May 2018. O’Neil is the first generation in her family to attend college.


O’Neil has applied quantitative and qualitative research and evaluation training obtained as a trainee and later Data Scientist on Wall Street, as well as with the Police Department, Department of Homeless Services, Office of Special Narcotics, among others. O’Neil’s graduate quantitative training was interdisciplinary in nature and included an M.A. in Quantitative Methods of the Social Sciences at Columbia University as well as supplementary training such as Hierarchical Linear Modeling with ICPSR and Geographic Information Systems at the University at Albany. This specialized training prepared O’Neil to efficiently manage, manipulate and present data for private and public audiences and for publication.



photo credit: pbs.org