加州大学伯克利分校电气工程与计算机科学系导师教师师资介绍简介-Joseph Gonzalez

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Joseph Gonzalez

Assistant Professor

Info Links

Research Areas

Artificial Intelligence (AI)
Database Management Systems (DBMS)
Operating Systems & Networking (OSNT)

Research Centers

Real-Time Intelligent Secure Explainable Systems (RISELab)
Berkeley Artificial Intelligence Research Lab (BAIR)
Berkeley Deep Drive (BDD)

Teaching Schedule

Fall 2020

CS 198-100. Conversations with Thought Leaders in Technology, Tu 5:00PM - 5:59PM, Internet/Online

Spring 2021

CS C200A. Principles and Techniques of Data Science, TuTh 9:30AM - 10:59AM, Requested General Assignment
CS 399-48. Professional Preparation: Supervised Teaching of Computer Science

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

P. Jain, A. Jain, A. Nrusimha, A. Gholami, P. Abbeel, K. Keutzer, I. Stoica, and J. Gonzalez, "Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization," in Proceedings of Machine Learning and Systems 2020, Machine Learning and Systems, 2020, pp. 497--511.
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.

Awards, Memberships and Fellowships

Okawa Research Grant, 2018
NASA Space Act Award, 2005
NASA Inventions and Contributions Board Award, 2005