Research Expertise and Interest

artificial intelligence, database management systems

Research Description

Joseph Gonzalez is an Associate Professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley Sky and RISE Labs. His research interests are at the intersection of machine learning and data systems and his students are working on a wide range of projects including: real-time model serving; machine learning life-cycle management; accelerated deep learning for computer vision; new cryptographic primitives for federated learning; frameworks for deep reinforcement learning and parameter tuning; model based cloud resource management; software platforms for autonomous vehicles research; computational efficient representations for asynchronous time series; smf frameworks for graph query processing.

He is co-founder of Aqueduct and Turi Inc. (formerly GraphLab). Before joining UC Berkeley as a professor, he was a post-doc in the UC Berkeley AMPLab working on several projects including GraphX (part of Apache Spark), early versions of MLbase, Velox, and concurrency control for ML. He obtained his PhD from the Machine Learning Department at Carnegie Mellon University where he worked on Parallel and Distributed Systems for Probabilistic Reasoning.