R

Anusha Bishop

Availability: By appointment only

Consulting Areas: Python, R, Cloud & HPC Computing, Data Sources, Data Visualization, Geospatial Data, Maps & Analysis, Machine Learning, Research Design, Cluster analysis, Experimental design, Hierarchical Models, High dimensional statistics, Means Tests, Nonparametric methods, Regression Analysis, Software Output Interpretation, Spatial statistics, Bash or Command Line, Excel, Git or Github, RStudio

Pratik Sachdeva, Ph.D.

Availability: By appointment only

Consulting Areas: Python, R, SQL, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Python Programming, R Programming, Regression Analysis, Hierarchical Models, Means Tests, Software Output Interpretation, Bash or Command Line, Excel, Git or Github, RStudio

Tom van Nuenen, Ph.D.

Availability: By appointment only

Consulting Areas: Python, R, SQL, LaTeX, HTML / CSS, Javascript, Julia,Data Manipulation and Cleaning, Data Science, Data Visualization, Digital Humanities, Machine Learning, Mixed Methods, Natural Language Processing, Python Programming, Qualitative methods, R Programming, Surveys, Sampling & Interviews, Text Analysis, Web Scraping,Regression Analysis,Bash or Command Line, Excel, Gephi, Git or Github, NVivo, Qualtrics, RStudioFairness, Perceptions of AI, Hermeneutics

Ini Umosen

Consultant
Economics

Ini is a PhD candidate in the Department of Economics. She studies topics in labor economics and the economics of education using applied econometrics methods. Current work in progress includes evaluating the impact of school choice systems and investigating gender and racial bias on gig platforms. She is a former Graduate Research Fellow at the California Policy Lab. She has also been a tutor for econometrics, labor economics, and macroeconomics.

Pratik Sachdeva, Ph.D.

Data/Research Scientist, Senior Consultant, and Senior Instructor

I am staff at the Social Sciences D-Lab. I received my Ph.D. in the Physics department at Berkeley. My research lies in the realm of theoretical/computational neuroscience, which aims to use mathematical and computational tools to better understand how neural systems operate and process information. My projects include using information-theoretic techniques to study how neural variability impacts information processing in neural circuits and investigating the statistical issues that impede the interpretation of parametric models of neural activity.

Beyond research, I'm...

Amber Galvano

Data Science Fellow 2024-2025
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...

Taesoo Song

Data Science Fellow 2024-2025
City and Regional Planning

Taesoo is a Ph.D. candidate in the City and Regional Planning department at the University of California, Berkeley. He studies the nexus of housing policy, neighborhood change, and residential outcomes for low-income and minority households.

His dissertation aims to reassess the prevailing narrative that Asian Americans face minimal barriers in the housing market using quantitative and qualitative methods. Taesoo has worked with the Terner Center for Housing Innovation and the Urban Displacement Project at UC Berkeley, as well as the Seoul Institute in South Korea.

Ruiji Sun

Data Science Fellow 2024-2025
Architecture

Ruiji Sun is currently a Ph.D. candidate in Building Science at UC Berkeley. He is also a GSR at the Center for the Built Environment (CBE). His dissertation focuses on causal inference in the built environment. Other areas of his research include indoor environmental quality, personalized environmental control systems, and building energy modeling.

He obtained his M.S. degree from Carnegie Mellon University and double-majored in Mechanical Engineering (HVAC) and Architecture at Xi’an University of Architecture and Technology, China. Ruiji also served as a board...

Yue Lin

Data Science Fellow 2024-2025
Political Science

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.

Paul Salamanca

Instructor
Sociology

I am a PhD student in sociology. I study imperialism, race, and gender, with a historical focus on the colonial Philippines. In my free time, I like to cook and bake.