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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.
DS
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.
TB
Micro Flight Lab — Prof. Tsevi Beatus
Our group studies flight at small scales using high speed imaging, machine learning and computational physics-based methods.