Research

 

I am a sociologist, mathematical demographer and data scientist. For the last 10 years, I have worked on the statistical modeling of population-level processes as they are internalized by individuals. I specialize in incorporating a mixed methods approach to understand complex social phenomena, combining multiple qualitative methods with ‘big data’ and digital demography. 

 

My research interests broadly encompass areas of stratification, health and demography. My dissertation examines the social experience of time during crucial transitions over the adult life course.

CV

University of California Berkeley, CA

Ph.D. Sociology & Demography. Expected May 2021

Dissertation: When enough is not enough:

Well-being & the social meaning of time.

Dissertation Committee:

Chair: Irene Bloemraad 

Co-Chair: Daniel Schneider

Neil Fligstein

Osagie Kingsley Obasogie

 

Field Exams:

Migration: Irene Bloemraad

Stratification: Daniel Schneider

Race & Ethnicity: Michael Omi

Sociological Theory: Neil Fligstein

Demography: Kenneth Wachter

 

M.A. Sociology. March 2018

M.A. Mathematical Demography. May 2015

Hot off the press

"Structure versus Agency: A Cross-National Examination of Discrimination and the Internalization of Negative Stereotypes." European Societies, 3(1)
 

How can we situate discrimination and the internalization of negative stereotypes in their contextual and structural determinants? To answer, I empirically examine linkages between structural inequalities, ethnic discrimination and the internalization of negative stereotypes. Data come from the UNDP, interrogating the lived experiences of Europe’s Roma population (N = 4651), utilizing a multilevel framework. I show that the relationship between stratification and stereotype internalization is more nuanced at the population level than what has been illustrated so far in controlled experimental research settings. Both structural inequality and discrimination influence the internalization of negative stereotypes. Ethnic discrimination and the internalization of negative stereotypes closely parallel each other. The above phenomena are distinctly influenced by factors such as gender, group educational attainment levels, group-level gendered income distributions and country-level political and economic contexts. My results show that in highly unequal environments, factors that we often think of as protective – such as higher education – may carry unintended consequences when it comes to the internalization of negative stereotypes. My analysis serves as an important first step in tracing the contours of the simultaneous effects of individual and structural discrimination on the internalization of negative stereotypes.

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