Hierarchical Models

Amy Van Scoyoc

Data Science Fellow
Environmental Science, Policy, and Management

I am a Ph.D. Candidate in Environmental Science, Policy & Management at Berkeley. As a community ecologist, I use movement data and satellite imagery to disentangle how human land-uses affect wildlife behavior and population dynamics. Before joining the Brashares lab, I managed the Data Analytics & IT Department at Earthwatch Institute, where I led initiatives to engage corporate stakeholders and volunteers in ecology field research. I graduated from Dartmouth College with a B.A. in Ecology.

Pratik Sachdeva, Ph.D.

Postdoc, Researcher
Physics

I'm a Postdoc at the Social Sciences D-Lab. I received my Ph.D. in the Physics department at Berkeley. My research lies in the realm of theoretical/computational neuroscience, which aims to use mathematical and computational tools to better understand how neural systems operate and process information. My projects include using information-theoretic techniques to study how neural variability impacts information processing in neural circuits and investigating the statistical issues that impede the interpretation of parametric models of neural activity.

Beyond research, I'm
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Everett Wetchler

Instructor, Consultant
Psychology

Ex-programmer, ex-data-scientist, current PhD student in psychology.

Jose Aveldanes

Instructor, Consultant
Sociology

I'm a third-year Ph.D. student in Sociology and Demography. I'm broadly interested in families, social policy, and computational social science. I approach the study of social issues using nationally representative surveys and computational methods in an attempt to study inequality, culture, and demographic change.

Katherine Wolf

Adjunct Fellow
Environmental Science, Policy, and Management

Doctoral student in Rachel Morello-Frosch's laboratory in the Department of Environmental Science, Policy, and Management working at the intersection of environmental epidemiology, environmental justice, and causal inference. Particularly interested in developing quantitative methods to investigate the operation of social power in environmental monitoring regimes in the United States.

Amanda Glazer

Instructor
Statistics

Amanda is a PhD candidate in the statistics department at Berkeley. Her research focuses on causal inference with applications in education, political science and sports. Previously she earned her Bachelor’s degree in mathematics and statistics, with a secondary in computer science, from Harvard.