Been is a research scientist at Brain. Her research focuses on improving interpretability in machine learning by building interpretability method for already-trained models or building inherently interpretable models. She has MS and PhD degrees from MIT. Been has given tutorials on interpretability at ICML 2017 , at the Deep Learning Summer school at University of Toronto, Vector institute in 2018 and at CVPR 2018 . Been is one of the executive board member of Women in Machine Learning (WiML), and helps with various ML conferences as a workshop chair, an area chair, a steering committee and a program chair. More on here .
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