Matlab

Violet Davis

Data Science for Social Justice Senior Fellow 2024
MIDS

I am a Masters student studying Data Science with the School of Information. My research involves computational social science projects focused on social justice and equity.

Krina Patel

Data Science for Social Justice Fellow 2024
Berkeley School of Education

Krina (she/her) is a first-generation engineer, educator, and researcher.

As a Kenyan-born Indian, she has always been intrigued by the diverse educational systems across different countries. Her passion for engineering design was sparked during her senior year of high school when a baking mishap inspired her to pursue an engineering degree at Penn State.

As an undergraduate, she was involved in design thinking, engineering education, and organizational psychology research at the Pennsylvania State University (Do-iT Lab).

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Skyler Yumeng Chen

Data Science for Social Justice Fellow 2024
Haas School of Business

Skyler is a Ph.D. student in Behavioral Marketing at the Haas School of Business. Her research centers on consumer behavior and judgment and decision-making, with a keen interest in both experimental methods and data science techniques. She holds a B.A. in Economics and a B.S. in Data Science from New York University Shanghai.

Grace Hu

Data Science for Social Justice Fellow 2024
Bioengineering

Grace is a 3rd year Bioengineering PhD candidate in the joint UC Berkeley-UCSF Graduate Program. Her research lies at the nexus of computational design and 3D-bioprinting to advance tissue engineering for regenerative medicine. She previously studied Materials Science and Engineering (B.S.) and Computer Science (M.S.) at Stanford University, where she investigated printable batteries to power an ultra-affordable scanning electron microscope and explored computer science education research by developing AI models to augment teaching ability.

In her free time she...

Hugh Kadhem

Mathematics

Hugh Kadhem is a Ph.D. student in Applied Mathematics, with broad research interests in computational quantum physics and high-performance scientific computing.

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
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Sophie Ruehr

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, LaTeX, Matlab, Data Visualization, Geospatial Data, Maps & Analysis, Means Tests, Regression Analysis, Software Output Interpretation, Spatial statistics, Time series, Bash or Command Line, Excel, Git or Github, Google Earth Engine, MATLAB, RStudio

Quick-tip: the fastest way to speak to a consultant is to first ...