Directory

Maryam Hosseini

BIDS Faculty Affiliate
Department of City and Regional Planning, UC Berkeley

Maryam Hosseini is an Assistant Professor of City and Regional Planning at UC Berkeley. Her research examines how the built environment shapes urban experiences, with a focus on walkability, accessibility, and equity. She integrates urban systems, computer vision, and economics to develop open-source, machine learning-driven tools that support more inclusive and resilient urban design. Prior to joining Berkeley, she was a postdoctoral researcher at MIT’s Department of Urban Studies and Planning. Earlier, she spent four years as a research associate at NYU’s Visualization, Imaging, and Data...

People

The Berkeley Institute for Data Science team includes developers, faculty, postdoctoral scholars, researchers, and administrative staff. BIDS has an active and diverse community of interdisciplinary experts from life, social, & physical sciences, the humanities, computer science, statistics, and applied mathematics.

Adrian Hill

Assistant Dean, Interdisciplinary Initiatives
College of Computing, Data Science, and Society

Adrian Hill is assistant dean for interdisciplinary initiatives in the College of Computing, Data Science, and Society. She joined CDSS with more than 15 years’ experience working to support academic research, most recently in the Office of the Executive Vice President for Research at Columbia University. In that role, she worked to bolster cross-campus research themes, including climate and precision medicine. She partnered with faculty leadership to develop the Mortimer B. Zuckerman Mind Brain Behavior Institute and strengthen its ties with academic departments across the university. She...

Tim Thomas

Research Training Lead, Berkeley Computational Social Science Training Program
Urban Displacement Project, UC Berkeley

Tim Thomas is a professional researcher and research director at Berkeley’s Urban Displacement Project (UDP) specializing in urban sociology, demography, and data science. His research focuses on how neighborhood change, housing disparities, policies, and displacement affects household socioeconomic stratification and mobility by race and gender in the United States. His research at the UDP centers on developing open-source tools to measure displacement and gentrification as well as a national housing precarity risk model...

George Obaido

BIDS-CHAI Data Science Research Scholar (Education)

George Obaido is a Berkeley Institute for Data Science (BIDS) - Center for Human-Compatible Artificial Intelligence (CHAI) Research Scholar at the University of California, Berkeley, working with BIDS Faculty Affiliate Rediet Abebe, an assistant professor of Computer Science at UC Berkeley. Obaido completed his PhD in Computer Science at the University of the Witwatersrand in Johannesburg, South Africa. His research...

Meryem Essaidi

BIDS-Accenture Data Science Research Scholar (Responsible AI)

As a BIDS-Accenture Data Science Research Scholar focusing on responsible AI, Meryem Essaidi will be working with UC Berkeley professors Rediet Abebe (EECS) and Tolani Britton (School of Education). She is currently completing a PhD in Computer Science at Princeton University, and previously completed a dual MSE and BSE in computer science at UPenn. Her research is in the areas of algorithms, algorithmic game theory,...

Madelon Hulsebos

BIDS-Accenture Data Science Research Scholar (Data Science for All)

Madelon is a former BIDS Postdoctoral Scholar advised by Aditya Parameswaran in the EPIC Lab. Prior to joining UC Berkeley, she did her PhD research at the Informatics Institute of the University of Amsterdam, and held a research position at Sigma Computing. Her research is on the intersection of data management and machine learning, with recent contributions in methods, tools and resources for Table Representation Learning. Her research objective is to make retrieving insights from data a walk in the park, for everyone.

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Arash Ardakani

BIDS Data Science Research Scholar (Computer Architecture, Machine Learning Systems, Stochastic Computing)

Arash Ardakani is a former Berkeley Institute for Data Science (BIDS) Research Scholar, advised by Prof. John Wawrzynek at University of California, Berkeley. He received his PhD in Electrical and Computer Engineering from McGill University and his master in Electrical Engineering from Sharif University of Technology. His research interests include scientific methods for efficient neural computing, memory management in inference and training of large artificial intelligence models, stochastic computing, edge computing, hardware accelerators, and applications of machine learning for...

Gašper Beguš

BIDS Faculty Affiliate
Department of Linguistics, UC Berkeley
Associate Professor, Department of Linguistics, UC Berkeley

Gašper Beguš is an Associate Professor at the Department of Linguistics at UC Berkeley where he directs the Berkeley Speech and Computation Lab. He is also the Linguistics Lead at Project CETI and a Member of Berkeley's Institute of Cognitive and Brain Sciences. Previously, he was an Assistant Professor at the University of Washington. Before that, he graduated with a Ph.D. from Harvard. His research focuses on developing deep learning models for speech data. Dr. Beguš combines machine learning and statistical models with...

Nina Beguš

BIDS Faculty Affiliate
Center for Science, Technology, Medicine & Society, UC Berkeley
Researcher, Center for Science, Technology, Medicine & Society Lecturer, History Department, UC Berkeley Lecturer, School of Information, UC Berkeley

I lead the Artificial Humanities group where we focus on the intersection of humanities and AI across three research areas: cultural imaginary and social bias, narratology and writing creativity, and philosophy of science and technology. My first book, titled Artificial Humanities: A Fictional Perspective on Language in AI (2025), presents my...