I am a Research and Data Scientist in the D-Lab at UC Berkeley. My research focuses on the societal impacts of machine learning models, with an emphasis on understanding the norms and values elicited from large language models. I also lead and support a range of social science projects, spanning hate speech detection, education, and computational humanities. Lastly, I help provide D-Lab's core instructional and consulting services.
I previously obtained my PhD in the Physics Department at UC Berkeley, conducting research in...
Data Science & AI Fellow 2025-2026, 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.
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 (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).
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.
Hugh Kadhem is a Ph.D. student in Applied Mathematics, with broad research interests in computational quantum physics and high-performance scientific computing.
