by Berkeley School of Information

Mahdieh Taher, a Fall 2020 Master of Data Science graduate, has been awarded the Jack Larson Data for Good Fellowship for her work as a data engineer dedicated to improving medical diagnoses in rural areas. She believes that data science can help tackle some of the toughest challenges facing society today, and her ultimate goal is to leverage artificial intelligence in medicine to improve the lives of those in rural communities.

Taher was in the data science class Deep Learning in the Cloud and at the Edge (W251) when she had an idea: doing machine learning and deep learning on edge devices — computers and other devices at the “edge” of the network, like a rural doctor’s laptop or smartphone that she brings from location to location — could bring much-needed medical diagnostic capacity to remote populations.

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