Joseph Gonzalez
Assistant Professor
Info Links
Research Areas
Research Centers
Teaching Schedule
Fall 2019
- CS 294-162. Machine Learning Systems, MoFr 2:00PM - 3:29PM, Soda 310
Spring 2020
- CS C100. Principles & Techniques of Data Science, TuTh 9:30AM - 10:59AM, Wheeler 150
- CS C200A. Principles and Techniques of Data Science, TuTh 9:30AM - 10:59AM, Wheeler 150
Biography
I am an assistant professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley RISE Lab. My research interests are at the intersection of machine learning and data systems and my 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.
Co-founder: I am also co-founder of Turi Inc. (formerly GraphLab), which was originally based on my thesis work on the GraphLab and PowerGraph Systems. Turi was recently acquired by Apple Inc.
Background: Before joining UC Berkeley as an assistant professor, I was a post-doc in the UC Berkeley AMPLab working on several projects including GraphX (now part of Apache Spark), early versions of MLbase, Velox, and concurrency control for ML. I obtained my PhD from the Machine Learning Department at Carnegie Mellon University where I worked with on Parallel and Distributed Systems for Probabilistic Reasoning.
Education
- 2012, Ph.D., Machine Learning, Carnegie Mellon University
Selected Publications
- X. Pan, S. Jegelka, J. E. Gonzalez, J. K. Bradley, and M. Jordan, "Parallel Double Greedy Submodular Maximization," in Advances in Neural Information Processing Systems 27, 2014.
- X. Pan, J. E. Gonzalez, S. Jegelka, T. Broderick, and M. Jordan, "Optimistic concurrency control for distributed unsupervised learning," in Advances in Neural Information Processing Systems 26, 2013, pp. 1403--1411.