Qualtrics

María Martín López

Data Science Fellow
Psychology

María Martín López is a PhD student in the Cognition area within the Department of Psychology. Her research relates to cognitive computational and quantitative models of individual differences in behaviors, thoughts, and emotions. She is particularly interested in how we can create and leverage novel algorithms to understand, measure, and predict processes relating to externalizing psychopathology (e.g. impulsivity, aggression, substance use). She answers these questions using a range of computational and quantitive models including AI, NLP, SEM, time series analysis, multi-level...

Qualtrics Fundamentals

October 5, 2023, 2:00pm
Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities. Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event feedback, and other uses with some creativity.

Scarlet Bliss, MS

Domain Consultant, Research IT
School of Public Health

Scarlet Bliss is an MS/PhD student in Epidemiology in the School of Public Health. Her work focuses on mixed methods approaches to characterizing and preventing spread of antimicrobial resistance and other enteric pathogens via the environment. She has experience in statistical analysis and public health bioinformatics. She is interested in ethical use of big data as it relates to epidemiologic research.

Michael Ruiz

IUSE Research Team
Psychology

Michael earned his B.A.in Psychology from UC Berkeley and currently works as the manager of Professor Okonofua's Equity, Diversity, and Empathy Navigation Sciences Lab in the UC Berkeley Psychology department.

Claudia von Vacano, Ph.D.

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R,Digital Humanities, Mixed Methods, Natural Language Processing, Qualitative methods, Social Network Analysis, Surveys, Sampling & Interviews, Text Analysis,MaxQDA, Qualtrics

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Emma Turtelboom

Data Science Fellow
Astronomy

I am a PhD student in the Astronomy department, and I study planets outside our own solar system. I'm interested in learning how the properties of host stars affect planetary systems. In my free time, I love swimming, hiking, reading, and baking.

Sharon Green

Data Science Fellow
Demography

Sharon Green is an epidemiologist and sociologist who studies population health. Her research examines how policies influence health disparities, how migration affects migrant-sending areas, and how social determinants shape mid- and late-life health inequities. Her work has been published in leading journals, including the New England Journal of Medicine, Social Science and Medicine – Population Health, and American Journal of Public Health. Sharon earned her PhD in Sociomedical Sciences and Sociology and her MPH from Columbia University as well as her BA from Johns Hopkins...

Kamya Yadav

Data Science Fellow
Political Science

Kamya is a third year PhD student in the Department of Political Science. Using multimethod research, she studies gender, representation, and political parties in India to understand the barriers and pathways to women's political participation and representation. She has a BA in Politics from Princeton University.

Renee Starowicz, Ph.D.

Data Services Manager, Senior Instructor, Senior Consultant, Co-Executive Director of Berkeley FSRDC
D-Lab
Berkeley Graduate School of Education

Renee Starowicz, Ph.D., has been affiliated with the D-Lab since January 2020 when she joined the NSF IUSE, Undergraduate Data Science at Scale project. Renee’s research interests include Critical Disability Studies, Trauma-skilled inclusive practices and Multimodal Communication Access. At the DLab, Renee is an instructor for STATA FUNdamentals and Introduction to Qualtrics.

Aniket Gupta

Discovery Fellow
School of Information

I am a first year masters student at UC Berkeley school of Information majoring in Information Management and Systems with a focus on Data Science and ML. I like to build optimized yet simple and scalable solutions powered by data using emerging AI technologies.