Graduate Fellows

Andy Kim

Berkeley Computational Research for Equity in the Legal System Fellow
Biostatistics, UC Berkeley

As a graduate student in Biostatistics, I applied to CRELS to consider the ways in which statistical application to public health data is analogous and complementary to the ways we can consider data regarding criminal justice. For instance, one way I find statistics to be a powerful tool is how it can elucidate and ways that assumptions have been systematically built and enforced through erroneous, manipulative, and/or insidious ways of interpreting and communicating data.

As I enter the 4th year of my program, I've been studying methods to observe and describe data that don't...

Jonathan Landeros-Cisneros

Berkeley Computational Research for Equity in the Legal System Fellow
Education, Critical Studies UC Berkeley

Joni Landeros-Cisneros is a Ph.D. student in Education at the University of California, Berkeley. He holds a Master of Anthropology and a BS in Anthropology from Iowa State University. Additionally, he has contributed to academia by instructing courses with critical and decolonial frameworks in the fields of education and Spanish language learning. His research portfolio spans interdisciplinary quantitative and qualitative methods, with a focus on critical social issues such as whiteness in pedagogical content, carceral humanitarianism in K-12, and targeted racialized policing in...

Daniel Lobo

Berkeley Computational Social Science Fellow
Sociology, UC Berkeley

Daniel Lobo is a PhD student in the Department of Sociology at UC Berkeley. Historically, his research interests have been in education inequality in K-12 and higher education, with a focus on the life outcomes of low-income students. Lobo is currently interested in two lines of research: the global political economy of higher education and the effects of social media on cultural production and reproduction. Epistemologically, he seeks to leverage big data and machine learning to bridge disciplines in his research and to ask predictive questions in the social sciences. As a CSSTP fellow,...

Liza Lutzker

Berkeley Computational Social Science Fellow
Epidemiology, Public Health, UC Berkeley

Liza Lutzker is an Epidemiology PhD student at the UC Berkeley School of Public Health. Her research focuses on how traffic safety outcomes and disparities in the US are affected by current and historical institutions, policies and practices which embed biases against poor people or racially minoritized groups. Her current project examines the efficacy of traditional police traffic enforcement on preventing fatal and severe traffic collisions. Prior to pursuing a PhD, Liza worked broadly in the field of environmental and occupational epidemiology at the Massachusetts and California...

Christina Misunas

Berkeley Computational Social Science Fellow

Christina Misunas is a PhD student in Demography at UC Berkeley. Her research to date has focused on the intersection of gender, health, and education in low- and middle-income countries. For the past five years, she has worked with Population Council and UNICEF’s Data Analysis Unit on research around girls’ education, child marriage, and adolescent childbearing. Prior to working in research, Christina spent several years in Washington, DC, working on global advocacy and programming for sexual and reproductive health with Marie Stopes International and the Open Society Foundations. Misunas...

Julian Ramos

Berkeley Computational Social Science Fellow
Health Policy, Public Health, UC Berkeley

Julian Ramos is a PhD student in Health Policy with an emphasis in Population Health Sciences. His research explores how institutional arrangements, interest groups, policy change and political economies shape criminal legal and public health outcomes, focusing on policing and interpersonal violence within race-class subjugated communities. Before his graduate studies, he was a political research consultant at Everyday Impact Consulting supporting grassroots organizations, youth development, criminal justice reform, Medi-Cal expansion, language access and cultural competency policies, anti...

Eric Rawn

Berkeley Computational Research for Equity in the Legal System Fellow
Electrical Engineering and Computer Sciences (EECS), UC Berkeley

Eric Rawn is a PhD Student in Computer Science with a focus on Human-Computer Interaction and Programming Languages. They study how data scientists and other expert practitioners use programming environments in order to support them with better tools.

Arisa Sadeghpour

Berkeley Computational Research for Equity in the Legal System Fellow
Statistics, UC Berkeley

Arisa Sadeghpour is a third-year PhD student in Statistics advised by Dr. Erin Hartman. She is interested in developing statistical methods, specifically in causal inference, for social science applications. Previously, she graduated from Rice University with a degree in Computational and Applied Mathematics and was a fellow at the Centers for Disease Control and Prevention.

Saron Goitom

Berkeley Computational Social Science Fellow
Epidemiology, Public Health, UC Berkeley

Saron Goitom is a PhD student in the Department of Epidemiology at UC Berkeley's School of Public Health. Her current research interests include contextualizing the way in which stressful life events during pregnancy influence their children's internalizing behaviors in early childhood, by examining the influence of larger structural factors like poverty, trauma, racism and discrimination. In her previous work as a programmer analyst, she was involved in evaluating the effectiveness of safety-net programs in reducing acute care utilization and increasing long-term linkage to primary care,...

Alex Schulte

Berkeley Computational Social Science Fellow
Health Policy, Public Health, UC Berkeley

Alex Schulte is a Health Policy PhD student at UC Berkeley’s School of Public Health. Her research focuses on the role of social and organizational networks in improving equitable access to healthcare, in particular sexual and reproductive healthcare. Alex is interested in leveraging computational social science methods, such as causal inference and machine learning, to address complex research questions with the goal of improving health equity. Prior to starting her PhD, Alex led sexual and reproductive health programming at the Deloitte Health Equity Institute in New York City. She...