Angela is a second-year Masters of Information Management Student at the School of Information. Prior to Berkeley, Angela worked in healthcare finance consulting and public health nonprofit. She is interested in applications of data science to improve delivery of nonprofit and public services. Angela received her B.A. in Biology and Public Health from Williams College.
Ariel is a master's student in the Health and Social Behavior division of the School of Public Health. She is an experienced mixed methods researcher, specializing in market research, consumer/audience insights, survey design and analysis, and program evaluation. She is passionate about storytelling with data, and using research to create actionable insights.
I am an MPP candidate and D-Lab fellow with five years of experience in Economics and Policy Research. My policy interests include safety net programs and racial equity. I primarily work in Stata and R, but also have experience with Python and SAS.
Enrique Valencia López is a PhD student in the Policy, Politics and Leadership cluster at the Graduate School of Education.His research interests relate to three broad areas: the stratification of education by gender, immigration status and ethnicity; the measurement of teacher working conditions and well-being; and education in Latin America.
Before coming to Berkeley, Enrique worked for Mexico’s National Institute for Educational Evaluation and Assessment (INEE) in both the Policy and Indicators area. During that time, he co-authored Mexico’s first report on the educational...
Leena is a Master of Data Science student with experience in applying Machine Learning & Data Visualization to solve problems across numerous domains. Leena holds an MBA from Indian School of Business and her Bachelor's is in Computer Engineering. Her experience includes: Creating Deep Learning Models for NLP, creating ETL pipelines using big data and cloud computing, creating and presenting dashboards to highlight key relationships, analyzing surveys in Qualtrics, R scripting, and analyzing data. Her tech stack includes: Python (Tensor Flow, Numpy, Pandas, Matplotlib, Seaborn,...
I am a fifth-year PhD Candidate in City and Regional Planning. My dissertation examines the impacts of rezonings in Seattle on housing supply, residential mobility, and transportation outcomes. More broadly, my research focuses on increasing equity in cities at the intersection of housing, land use, and transportation policies.
I received a Master in Public Affairs from Princeton University and a Bachelor’s degree in Geography from Dartmouth College, and previously worked in affordable housing in New York City government.
I am a PhD candidate at UC Berkeley in the department of Environmental Science, Policy, and Management (ESPM). My research is at the intersection of ecology, data science, and decision theory. I synthesize data on ecosystems (e.g. biodiversity distributions), social systems (e.g., human perceptions) and institutions (e.g. governance structures) to understand how we can better, and more equitably, manage landscapes and seascapes under uncertainty and global environmental change.
Monica is a third-year Ph.D. candidate in the Environmental Science, Policy, and Management program. She uses computational tools to study the evolution and ecology of agricultural plant pathogens. Previously, she worked on a data science team at a biotech company in Boston.