Vera is a software engineer in machine learning at Sift Science. Previously, Vera was a Modeling Scientist on the Performance Targeting team at Quantcast. She leads the technical development of the new Search Powered Audiences product and is an avid contributor of modeling improvements across the Quantcast technology stack. A graduate of UC Berkeley, Vera holds a PhD in Mechanical Engineering with a focus on control theory, optimization, and game theory. At work she is fascinated by leveraging mathematical insights to improve the performance of complex systems. In her free time, she enjoys photography and hiking, not necessarily at the same time.