D-Lab's workshops and consulting services are paused for the summer. Our core staff will be focusing on special projects and other endeavors. We look forward to seeing you in the fall and hope you have a great summer.
Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
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.
I am a PhD student at the Haas School of Business, University of California, Berkeley, and a researcher in the Department of Radiation Oncology at the University of California, San Francisco, having previously earned my MD and MPH degrees. My research focuses on the intersection of professionals and emerging technologies, drawing from the fields of medical sociology, organizational theory, and science and technology studies. I am particularly fascinated by the evolving relationship between physicians and artificial intelligence, the phenomenon of physician influencers, and the social...
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...
Yue is a Ph.D. student in Political Science at the University of California, Berkeley, with a Designated Emphasis on Political Economy. Using mixed methods, she studies foreign lobbying, geopolitical risk, and economic security to understand when, how, and why multinational corporations become the targets and weapons of state power rivalry.
I am a PhD candidate in Systems Engineering. My current research focuses on distributed acoustic sensing (DAS), a cutting-edge technology with diverse applications. I have used DAS to detect whale vocalizations in Monterey Bay, California, and to monitor roadways, water pipelines, and energy infrastructure.
I enjoy identifying and mitigating challenges that arise when applying new technologies by developing data tools, pipelines, and frameworks for real-world deployments. My work is driven by a keen interest in exploring and refining innovative...
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...
Data Science Fellow 2024-2025, Data Science for Social Justice Fellow 2024
Linguistics
Linguistics (sociophonetics, phonology)
I am a fourth-year PhD student in Linguistics, with a focus in sociophonetics and phonology. In my research, I'm interested in how understudied speech communities (Andalusians, southern Spain; Lobi and Tonko Limba, West Africa) and often-relegated aspects of social identity (sexuality, gender normativity) can inform new approaches to theory and methodology and how we conceptualize the interfaces between linguistic subfields.
I'm also involved in language documentation/revitalization work for Lobi and the development of automated phonetic methods, particularly for...
I'm originally from Brazil, but I have been living in Berkeley for the last 5 years working towards my PhD in Economics. My main areas of interest are Behavioral and Macroeconomics, mostly their intersection, but I'm excited about learning and working on empirical applications on different fields.
Nanqin Ying, a second-year graduate student at the Goldman School of Public Policy specializing in Development Practices, combines a robust nonprofit background with advanced data science techniques. She focuses on leveraging machine learning and big data to drive significant social change, aiming to transform insights into actionable, positive impacts on communities.
Data Science for Social Justice Senior Fellow 2024
Electrical Engineering and Computer Science (EECS)
I am a PhD student at UC Berkeley in the EECS department co-advised by Prof. Sarah Chasins and Prof. John Canny. My research interest broadly lies in the intersection of AI and HCI, with a focus on making usable AI tools accessible to end users.
I am currently looking into making NLP tools usable and accessible for low-resourced languages. I am also interested in the impact of AI on society, specifically in how it affects Global Majority countries and communities. Outside of research, I like to read books, make and drink traditional Ethiopian coffee, knit,...