STATA

Alex Ramiller

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
City and Regional Planning

I am a PhD Candidate in City and Regional Planning. My research focuses on the use of large administrative datasets to study residential mobility, neighborhood change, and housing access. I received a Master in Geography from the University of Washington and a Bachelor's in Economics and Geography from Macalester College. I have also consulted on analytical projects for several organizations including the San Francisco Federal Reserve Bank, PolicyLink, and the City of Seattle.

Jane (Mango) Angar

Data Science Fellow 2024-2025
Political Science

Hi! I am a PhD candidate in the Political Science Department at UC Berkeley. My dissertation traces the emergence of disability rights groups in Africa, focusing on Zambia and Malawi, and examines factors influencing their effectiveness. I use mixed methods, including archival work, field interviews, participant observation, and surveys for data collection.

My data analysis techniques include text analysis, social network analysis, means tests, and regressions. In my free time, I enjoy moderately difficult hikes, walks along the beach with my dog, Princess, and...

Sahiba Chopra

Data Science Fellow 2024-2025
Haas

I'm a PhD student in the Management and Organizations (Macro) group at Berkeley Haas. I have a diverse professional background, primarily as a data scientist across numerous industries, including fintech, cleantech, and media. I hold a BA in Economics from the University of Maryland, an MS in Applied Economics from the University of San Francisco, and an MS in Business Administration from UC Berkeley.

My research focuses on the intersection of inequality, technology, and the labor market. I am particularly interested in understanding how to reduce inequality in...

John Salchak

Data Science Fellow 2024-2025
Political Science

I am a third year Ph.D. student in the Department of Political Science and I conduct empirical research on international and civil conflict. My work assesses the effects of U.S. security force assistance on partner state military design as well as the effects of foreign military interventions on subsequent dispute initiation between states.

I hold an MA from University of Chicago and a BA from George Washington University.

Elaine Luo

Data Science Fellow 2024-2025
Graduate School of Education

Elaine (Hua) Luo is a PhD candidate in the Graduate School of Education, School Psychology PhD program. Her research interests focus on adolescents’ identity development and well-being under the transactional influence of entities in their socio-ecological systems. In her research, Elaine has utilized not only quantitative but also qualitative and mixed methods to study her research topics of interest. Before coming to Berkeley, Elaine earned her Master’s in Human Development and Psychology from Harvard Graduate School of Education and her Bachelor of Art in Education Sciences from...

Krina Patel

Data Science for Social Justice Fellow 2024
Berkeley School of Education

Krina (she/her) is a first-generation engineer, educator, and researcher.

As a Kenyan-born Indian, she has always been intrigued by the diverse educational systems across different countries. Her passion for engineering design was sparked during her senior year of high school when a baking mishap inspired her to pursue an engineering degree at Penn State.

As an undergraduate, she was involved in design thinking, engineering education, and organizational psychology research at the Pennsylvania State University (Do-iT Lab).

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Stata Fundamentals: Parts 1-3

August 14, 2023, 10:00am
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Stata Fundamentals: Parts 1-3

August 15, 2022, 9:00am
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Stata Fundamentals: Parts 1-3

September 28, 2021, 9:00am
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

Stata Fundamentals: Parts 1-3

February 28, 2023, 2:00pm
This workshop is a three-part introductory series that will teach you Stata from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the Stata software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.