Ali Muhammad graduated in 2023 and is now with Apple. His research interests were in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild. He enjoys using methods at the intersection of internet measurement and applied machine learning to answer these questions. He was advised by Alan Mislove….Continue Reading Ali Muhammad
Piotr Sapiezynski‘s core work is auditing platforms and their algorithms for fairness and privacy. Together with his collaborators, they investigate systems that are optimized for corporate profit yet drive many aspects of our daily lives. All too often we find these systems have (possibly unintended but often predictable) side effects that bring harm to individuals…Continue Reading Piotr Sapiezynski
Hari Venugopalan‘s research interests broadly focus on privacy preserving fraud detection. On the one hand, while analyzing the user’s behavior and environment provides strong signals to detect fraud, they can also be abused to invade user privacy. His research focuses on ML and systems that protect user privacy while not compromising other utilities such as…Continue Reading Hari Venugopalan
Tianyue Chu‘s research interests include Machine Learning and GNNs. Her primary goal is to employ ML-based approaches to prevent misinformation from spreading on the internet. PhD Student advised by Nikolaos Laoutaris….Continue Reading Tianyue chu
Santiago Andrés Azcoitia‘s PhD aims at developing specific components to build a human-centric data economy. We are understanding the value chain in the data economy, increasing the transparency to data pricing, testing more efficient mechanisms to acquire data in SOTA marketplaces, and perform a more efficient value-based revenue distribution among data providers. He worked closely…Continue Reading Santiago Andrés Azcoitia