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.
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).
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 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.
