SQL

Karla Palos Castellanos

Availability: By appointment only

Consulting Areas: Python, R, SQL, Stata, 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

Stephanie Andrews

Consultant
Info & Data Science MIDS

Stephanie Andrews is currently studying data science in the MIDS program, having previously majored in Social Welfare as an undergraduate at Cal. After graduating, she worked as an advocate for survivors of gender-based violence, as a public policy analyst focusing on anti-trafficking initiatives, and as a software engineer for progressive and social impact organizations. She is now conducting research with the Human Rights Center's Investigations Lab, using OSINT and data science methods to investigate human rights violations.

Kurt Soncco Sinchi

Consultant
Civil Engineering

First generation student and looking to improve and apply Data Science core concepts into social impactful projects, as well as trying to leverage the information from previous cases for better insights of society. Focused on infrastructure and its impact under natural disasters.

Severin Saenz, MCP

Academic Program Manager III, Consultant
Department of City and Regional Planning

I'm a graduate of the Department of City and Regional Planning. My areas of expertise are affordable housing, k-12 education, and community economic development.

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...

Nikita Samarin

Instructor
Electrical Engineering and Computer Science (EECS)

Nikita Samarin is a doctoral student in Computer Science in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley advised by Serge Egelman and David Wagner. His research focuses on computer security and privacy from an interdisciplinary perspective, combining approaches from human-computer interaction, behavioral sciences, and legal studies. Samarin is a member of the Berkeley Lab for Usable and Experimental Security (BLUES) and an affiliated graduate researcher at the Center for Long-Term Cybersecurity (CLTC) and the...

Seyi Olojo

Instructor, Researcher
School of Information

Seyi is a PhD Student in the School of Information and is a member of the Algorithmic Fairness and Opacity Group. Her research broadly explores the problem space of digital memory, specifically the social discourse surrounding algorithms, ethics, and engagement. Additionally, her work often explores histories of quantification and the politics of categories within emerging technologies. She uses a mixed methods approach to research; this includes ethnography, interviews, grounded theory, surveys, data analysis and values-based design. Here at the D-lab, she leads the qualitative...

Kamya Yadav

Senior 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.