Graduate Fellows

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,...

Sofia Guo

Berkeley Computational Social Science Fellow
Social Welfare, UC Berkeley

Sofia is an MSW/PhD student at the UC Berkeley School of Social Welfare studying under Dr. Jill Duerr Berrick. Her research interests include analyzing front line child welfare decision making and applying econometrics tools to practice issues in the field. The CSSTP fellowship will support development of text analysis and modeling skills, in addition to training in leading data science techniques.Sofia received her BA in Economics from UC Berkeley in 2019. Prior to entering graduate school, Sofia was an assistant budget analyst at...

Citlali Trigos-Raczkowski

Berkeley Computational Social Science Fellow
Sociology, Demography, UC Berkeley

Citlali is a PhD student in Demography at UC Berkeley interested in how families form under pressure, what holds them together, and what gets carried forward to the next generation. With CSSTP, she hopes to bring a broader, more interdisciplinary set of computational and quantitative methods to her research. Prior to population research, she worked as a software engineer and data scientist in San Francisco, NYC, and Sierra Leone, and taught math and programming in various settings globally. She holds a B.S. in Mathematics with Computer Science from MIT, an M.S. in Data Science from the...

Stephanie Veazie

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

Stephanie Veazie is an Epidemiology PhD student at UC Berkeley’s School of Public Health. Her general research interests are understanding how social determinants of health drive disparities in maternal, child and adolescent health as well as mental health. She is currently researching trends in the proportion of adolescents who experienced adverse life events such as parental job loss and death of a family member before vs. after the start of the COVID-19 pandemic, and whether rates varied by racial/ethnic group and socioeconomic status. She also plans to examine how social adversity...

Clara Voong

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

Clara Voong (she/her) is a PhD student in Epidemiology. Clara is investigating biological and socio-environmental contributors to cardiometabolic health outcomes across the life course and future generations. She is interested in causal inference and multi-omics methods in precision health. Prior to her studies, Clara worked in community health.

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