Regression Analysis

Ian Castro

D-Lab Alumni
School of Information

Ian is a graduate student in the Master of Information Management and Systems program at the School of Information with a focus in applied data science. He earned his B.A. in Media Studies and B.S. in Microbial Biology from UC Berkeley, and his research interests and work experience are in STEM education. He focuses in building courses and academic programs to make data and computing accessible to historically marginalized students and those without prior exposure to the field.

Lia Chin-Purcell

Consultant
School of Information

Hello! I am a first-year Masters's student at the School of Information in the MIMS program with a focus is in data science and ethics. Before joining Berkeley, I studied computer science at the University of Puget Sound.

Tiffany Taylor

PhD Student
Anthropology

Tiffany Taylor is a doctoral student at the University of California, Berkeley. Previously, she received a Master of Public Health in Epidemiology from Columbia University's Mailman School of Public Health. She graduated from the University of Chicago with majors in Political Science, Sociology, and Comparative Race and Ethnic Studies (Asian American Studies). Some of her research interests include social medicine, educational sociology, and social demography. Additional interests include pilates, yoga, and fashion.

Ash Tan

Consultant
School of Information

Ash is a Masters of Information and Data Science student at the Berkeley School of Information. He currently studies data collection, analysis, and visualization, as well as research design and machine learning techniques. His interests include cognitive science, Wikipedia data, and privacy research.

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Daphne Yang

Data Science Fellow
School of Information

Daphne is a current 5th-year graduate student at the School of Information with a keen interest in the intersection between healthcare and data science. She has prior work experience in the realm of public health, consulting, and research. Currently, she is a data science research intern at a DC consumer experience startup. She is particularly interested in how data can be used to power insights and help move society towards a more equitable future.

Ilya Akdemir

Data Science Fellow
School of Law

Ilya is a JSD candidate at UC Berkeley School of Law. His research focuses on natural language processing and machine learning applications that are motivated by both theoretical and practical questions in the legal domain.

Grazia Rovelli, Ph.D.

Data Science Fellow
Chemical Science Division (LBL)

Grazia is a postdoctoral scholar at the Chemical Science Division at Berkeley Lab and a Data Science Fellow at D-Lab. Her research has focused on several different aspects of atmospheric chemistry and she is now interested in data science and machine learning tools applied to atmospheric pollution problems.

Brooks Jessup, Ph.D.

Data Science Fellow
History

Brooks received his Ph.D. in History from UC Berkeley and was trained in Data Science at General Assembly. His work applies digital tools and methods to the study of modern cities and urban issues. At D-Lab, he teaches and consults on data analytics, machine learning, geospatial analysis, and natural language processing with Python and SQL.