Nahid Farhady is Machine Learning Engineer at the CyberML team within Capital One. She has obtained her PhD in Electrical and Computer Engineering from Virginia Tech in 2016. Her research interest is on embedded systems security, Fault Attacks and Side Channel Attacks, and Cryptography. Her research has been published in several peer reviewed conferences and journals such as DATE, FDTC, and IEEE ESL.