Postdoctoral Scholars

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...

Kyla Bourne

BIDS-Accenture Data Science Research Scholar (Criminal Justice)

Kyla Bourne works to improve direct, empirical accountability of criminal law enforcement. She uses novel data to evaluate whether ongoing institutional changes have resulted in meaningful decarcerative reform. To date, she has focused on evaluating whether charging decisions made by newly-elected local reformist prosecutors may in fact end mass incarceration. As a BIDS-Accenture Data Science Research Scholar, Dr. Bourne will collaboratively build a national database of police misconduct records under the mentorship of BIDS Faculty Affiliate, ...

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,...

Zhanhao Hu

BIDS-Accenture Data Science Research Scholar (Robust AI)

Zhanhao Hu is a Berkeley Institute for Data Science (BIDS) Research Scholar, under the supervision of Professor David Wagner at UC Berkeley. He received his Ph.D. in Computer Science and Technology, as well as his B.S. In Mathematics and Physics, from Tsinghua University. His research interest primarily includes adversarial examples and privacy within the domains of computer vision and large language models.

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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.

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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...