Peter Alvaro is an Associate Professor of Computer Science at the University of California Santa Cruz, where he leads the Disorderly Labs research group (disorderlylabs.github.io). His research focuses on using data-centric languages and analysis techniques to build and reason about data-intensive distributed systems, in order to make them scalable, predictable and robust to the failures and nondeterminism endemic to large-scale distribution. Peter earned his PhD at UC Berkeley, where he studied with Joseph M. Hellerstein. He is a recipient of the NSF CAREER Award, the Facebook Research Award, the USENIX ATC 2020 Best Presentation Award, the SIGMOD 2021 Distinguished PC Award, and the UCSC Excellence in Teaching Award.