Madelon Hulsebos

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

Madelon is a 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.



Maryam Vareth

BIDS Health and Life Sciences Lead
Radiology and Biomedical Engineering, UCSF School of Medicine
Affiliated Researcher, Radiology and Biomedical Engineering, UCSF School of Medicine

Maryam Vareth leads BIDS’ data science research efforts in the Health & Life Sciences. Dr. Vareth is a Co-Director of the Innovate For Health initiative, a collaboration among UC Berkeley, UCSF, and Janssen Pharmaceutical Companies of Johnson & Johnson. As an experienced engineer, researcher, and data scientist, she applies mathematics, statistics and physics to solve unmet needs in...

Alexander Asemota

Berkeley Computational Research for Equity in the Legal System Fellow
Statistics, UC Berkeley

Alex is a PhD candidate in the Statistics department at UC Berkeley. His research focuses on explainability, fairness, and auditing in machine learning. Most recently, he has worked on leveraging longitudinal data to improve feasibility in counterfactual explanations. Alex also was a member of the inaugural cohort of the AI Policy Hub, where he worked on policy proposals regarding explanations from AI decision-makers. Prior to his PhD program, Alex received a Bachelor's degree in Mathematics from Howard University.

Pia Deshpande

Berkeley Computational Research for Equity in the Legal System Fellow
Political Science, UC Berkeley

Pia Deshpande is a Political Science PhD student at the University of California, Berkeley. She is broadly interested in race, political behavior, and social inequity in American Politics. So far, she has worked on projects examining white American reactions to demographic change, narrative techniques to reduce prejudice against different outgroups, and asymmetric political mobilization as a result of elite weaponization of language. She is starting new work on evictions leading to political disenfranchisement. Before starting at Berkeley, Pia worked as an academic researcher at the...

Tristan Chambers

CLEAN Data Architect

Tristan works with a diverse group of journalists, civil rights activists, criminal defense attorneys, and researchers of machine learning and AI technologies to collaborate on a shared data platform of police misconduct records.

Harpreet Mangat

NSF-NRT Computational Research for Equity in Legal Systems

Dr. Harpreet Mangat is Executive Director of Berkeley Interdisciplinary Migration Initiative (BIMI) at the University of California, Berkeley. She has held various leadership positions on campus at the Goldman School of Public Policy, the Institute for Research on Labor and Employment, and the Institute for the Study of Societal Issues. She was also a Fulbright Postdoctoral Scholar at Cal. Prior to coming to the United States, Harpreet was a professor in the department of Political Science at Guru Nanak Dev University in Amritsar,...

Lilli Wessling Hart

BIDS Events and Communications Specialist

Lilli Wessling Hart is a business operations and communications professional with over 25 years of experience. Before joining BIDS, she was a founding employee of a media technology company where she led meaningful experiences for international customers, business partners, students, and staff. She received her BA from University of Michigan.



Arash Ardakani

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

Arash Ardakani is a 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 digital...

David Minh-Duy Cao

Berkeley Computational Research for Equity in the Legal System Fellow
Electrical Engineering and Computer Sciences (EECS), UC Berkeley

David Minh-Duy Cao is a first-year PhD student in Computer Science. His research work aims to engage the intersection between computing and social justice, designing computing and programming tools to reify just futures and empower minoritized communities towards self-determination. Prior to beginning his PhD, he received majors in Computer Science (B.S.) and Ethnic Studies (B.A.) from UC San Diego. His current computing interests draw from his prior research work, which focused on using program synthesis and programming languages research to improve programming accessibility. He has...

Fernando Pérez

BIDS Faculty Affiliate
Statistics, UC Berkeley; Data Science and Technology Division, LBNL
Associate Professor, Statistics, UC Berkeley Faculty Scientist, Data Science and Technology Division, LBNL Co-PI for Moore/Sloan Data Science Environments

Fernando Pérez's research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research. He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. The Jupyter team collaborates openly to create the next generation of tools for human-driven computational...