I am a PostDoc in the Computer Science Devision at UC Berkeley, working in the AMP Lab on large-scale data management applications and infrastructure. Currently, my research focuses on the intersection between data management for analytics, machine learning, and crowd sourcing. During my PhD at ETH Zurich inside the Systems Group, I have been working on data management in the cloud and stream processing. I co-authored one of the first works taking a database perspective on cloud computing. Since then, I worked on various topics related to large-scale data management in the cloud, such as Consistency Rationing (an economic model trading consistency against cost), Smoky (a scalable and adaptable cloud streaming system) and a new database architecture and consistency protocols which utilize existing cloud services