Suchi Saria is a Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes.[2][3][4][5] She is a World Economic Forum (WEF) Young Global Leader. She earned her Bachelor's degree at Mount Holyoke College.[7] She was awarded a full scholarship from Microsoft. In 2004 she joined Stanford University as a Rambus Corporation Fellow.[7]

This document serves as a brief overview of the "Safe and Reliable Machine Learning" tutorial given at the 2019 ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019). The talk slides can be found here: https://bit.ly/2Gfsukp, while a video of the talk is available here: https://youtu.be/FGLOCkC4KmE, and a complete list of references for the tutorial here: https://bit.ly/2GdLPme.