People
Faculty
Jennie Brand
Jennie E. Brand is Professor of Sociology and Professor of Statistics and Data Science (by courtesy) at the University of California, Los Angeles (UCLA). She is Co-Director of the Center for Social Statistics (CSS) at UCLA. She is President of the International Sociological Association (ISA) Research Committee on Social Stratification and Mobility (RC28). She is the previous Chair of the Methodology Section and the Inequality, Poverty, and Mobility Section of the American Sociological Association (ASA). She was elected to the Sociological Research Association (SRA), an honor society for excellence in research, in 2019, and received the ASA Methodology Leo Goodman Mid-Career Award in 2016, and honorable mention for the ASA Inequality, Poverty, and Mobility William Julius Wilson Mid-Career Award in 2014. Prof. Brand is a member of the Technical Review Committee for the National Longitudinal Surveys Program at the Bureau of Labor Statistics. She was previously a member of the Board of Overseers of the General Social Survey (GSS). Prof. Brand studies social stratification and inequality, mobility, social demography, education, and methods for causal inference.
Ian Lundberg
Ian Lundberg is an Assistant Professor of Sociology at UCLA. His research develops statistical methods and applies those methods to questions about inequality, poverty, and mobility. After completing his PhD in sociology at Princeton University, Ian spent one year as a postdoctoral scholar in the Department of Sociology at UCLA. Ian enjoys hiking, surfing, and making oatmeal with blueberries.
Christina Wilmot
Christina Wilmot is a Ph.D. student in sociology at UCLA. Previously, she studied computer science and worked as a software engineer at Google. She is interested in the varying intersections of technology and society, including using novel computational methods to analyze social information, studying online social behavior, and looking at the effects of the adoption of new technologies on a society. She also aims to make computational methods more accessible to social researchers from a variety of substantive and methodological fields.
Keri Lintz
Keri Lintz is a third-year PhD student at the UCLA Luskin School of Public Affairs, Department of Social Welfare. Broadly, she studies the ways in which social policies support families and address disparities in early childhood. Keri is keenly interested in the careful and purposeful application of causal inference methods to child and family policy, drawing on her background in public administration and social service delivery. Her current research evaluates the effects of policies and programs on family financial stability, early childhood mental health, and access to healthcare.