Data for Health

Data for Health topic

Marina Blum

Data Science Fellow
School of Public Health

Marina is a master's student in the Health and Social Behavior division of the School of Public Health. She has extensive experience in ATLAS.ti and can help you get the most out of the program. She is passionate about data visualization, and is happy to help with related questions and questions on qualitative methods.

Racism Narratives in Medical Literature

Systemic racism is a driving factor in unequal health outcomes, but it is rarely the subject of study in top medical journals (see a 2021 analysis by Krieger et al.). This project, a collaboration between the UC Berkeley D-Lab and the American Medical Association's Center for Health Equity, aims to measure progress in acknowledging, studying, & dismantling racism by creating tools to track racism-related narratives in influential medical research.

Data for Health

Data for Health Summary

Caroline Figueroa, MD, Ph.D.

Research Fellow, Digital Health Social Justice Project Lead
School of Social Welfare
Digital Health Social Justice

Caroline Figueroa, MD Ph.D., is a Postdoctoral Scholar at UC Berkeley School of Social Welfare. She obtained her MD degree and Ph.D. degree at the University of Amsterdam in the Netherlands. Her Ph.D. research took place at the University of Amsterdam and at the University of Oxford, where she studied cognitive and neurobiological vulnerability factors for recurrence of depression in patients remitted from Major Depressive Disorder. Current research interest is on digital interventions for depression, with an emphasis on developing cutting-edge innovations that tailor to the needs of...

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

June 24, 2022, 3:00pm
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis.
See event details for participation information.

Excel Data Analysis: Introduction

June 22, 2022, 3:00pm
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.
See event details for participation information.

Excel Data Analysis: Charts, Pivot Tables, and VLOOKUP

May 25, 2022, 9:00am
This three-hour workshop will cover charts in more detail, review pivot tables, and the widely-used VLOOKUP function. We recommend first taking the introductory workshop Excel Data Analysis.
See event details for participation information.

Excel Data Analysis: Introduction

May 23, 2022, 9:00am
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.
See event details for participation information.

Alison Victoria White

Changemaker Technology Project
Digital Health Social Justice

Alison (she/her) is a recent graduate of UC Berkeley with a B.A. in Cognitive Science and minors in Data Science and Journalism. She is interested in precision medicine and the intersection of computer science, data science, and the fields of neuroscience and psychopathology. She now works as a Research Coordinator in Dr. Ian Gotlib's Stanford Neurodevelopment, Affect and Psychopathology Lab. In the past, she served as a Research Assistant in labs at UC Berkeley, UCSF, and Stanford in the areas of computational psychiatry, developmental psychopathology, and digital health. She...

Frank Hidalgo Ruiz

Data Science Fellow
Chemistry

I am currently a 5th-year Chemical Biology Ph.D. student. My research focuses on understanding the mechanism by which mutations in a protein called Ras lead to tumorigenesis. More specifically, I aim to integrate high-throughput mutagenesis, coevolutionary analysis, and machine learning algorithms to generate a predictive model. Over the last year, I have built a Python package to process, analyze, and visualize Next Generation Sequencing datasets. I love collaborating across research fields and sharing my passion for data science.