Tableau

Monica Donegan

Data Science Fellow
Environmental Science, Policy, and Management

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.

Daniel Lobo

Computational Social Science Fellow
Sociology

Daniel Lobo is a PhD student in the Department of Sociology at UC Berkeley and a Computational Social Science Fellow at the Berkeley Institute of Data Science. He believes that individuals make choices based on their preferences within a social context. Thus, his sociological project, like those of Émile Durkheim and Pierre Bourdieu, seeks to reveal the social in the apparently most individual forms of behavior. He is interested in how social conditions, both material and symbolic, shape the choices individuals make within our political economy–choices like where to live, who to...

Frances Leung

Data Science Fellow
School of Information

Frances Leung is a master’s student at UC Berkeley School of Information where she focuses her studies in information and data science. She has a keen interest in leveraging data-driven insights to better understand consumer behaviors and the world around us. In her professional work as a management consultant, she advises retailers and consumer businesses on digital transformation and creating web/mobile experiences that delight consumers through a human-centered approach. Frances holds a Master in Business Administration from York University, Schulich School...

Bobo Kwok

UTech
Data Science

I am an undergraduate student studying Data Science with an emphasis in Applied Mathematics & Modeling. I enjoy storytelling through data visuals and learning new visualization tools.

Swetha Pola

Research Fellow
School of Information

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

...

Scrollytelling through a look at food prices around the world

May 2, 2022

You have gathered the needed data to support your research, check. You have made some hypotheses about what you hope to conclude, check. You have spent time cleaning the data and organizing it in a manner that permits further exploration, check. You have sliced and diced the data with your favorite data exploration software packages or techniques and created some data visualizations that you feel confident about, quadruple check! You are now armed with insights that you hope to showcase to the world, what’s next? In this article, I would like to share some tips for creating a...

Tiffany Taylor

PhD Student
Anthropology

Tiffany Taylor is a doctoral student at the University of California, Berkeley. Previously, she received a Master of Public Health in Epidemiology from Columbia University's Mailman School of Public Health. She graduated from the University of Chicago with majors in Political Science, Sociology, and Comparative Race and Ethnic Studies (Asian American Studies). Some of her research interests include social medicine, educational sociology, and social demography. Additional interests include pilates, yoga, and fashion.

Priscila Amorim

Changemaker Technology Project
Data Science
Digital Health Social Justice

Priscila Amorim is a recent graduate of UC Berkeley's Bachelor's of Arts in Data Science program, and is currently attending Northwestern Univerisity for a Master's of Science in Data Science. Priscila is passionate about the intersection of technology and social justice, and in particular, health justice. Their goal is to work on climate justice through database management or data engineering to support data scientists and analysts in their work through the availability of ubiquitous data. Priscila is currently working on the Changemaker's Digital Health Project to help create...

Daphne Yang

Data Science Fellow
School of Information

Daphne is a current 5th-year graduate student at the School of Information with a keen interest in the intersection between healthcare and data science. She has prior work experience in the realm of public health, consulting, and research. Currently, she is a data science research intern at a DC consumer experience startup. She is particularly interested in how data can be used to power insights and help move society towards a more equitable future.

Grazia Rovelli, Ph.D.

Data Science Fellow
Chemical Science Division (LBL)

Grazia is a postdoctoral scholar at the Chemical Science Division at Berkeley Lab and a Data Science Fellow at D-Lab. Her research has focused on several different aspects of atmospheric chemistry and she is now interested in data science and machine learning tools applied to atmospheric pollution problems.