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Data Science
Making sense of the world through data, at every scale.
From data quality and pipeline accountability to large-scale knowledge discovery and computational physics, extracting structure from messy real-world data.
Labs in Data Science
Gilad Lab, Dr. Amir Gilad
Researches data quality and repair in AI pipelines, including differentially private explanations, causal inference, fairness, and accountability in machine learning systems.
Lab Website ↗
Hyadata Lab, Prof. Dafna Shahaf
Our goal is to use data to make sense of the world, and in particular, allow computers to augment human cognition in novel ways.
Lab Website ↗
Micro Flight Lab, Prof. Tsevi Beatus
Our group studies flight at small scales using high speed imaging, machine learning and computational physics-based methods.
Lab Website ↗