Incoming Assistant Professor
HDSI, CSE (affiliate), UC San Diego
Postdoctoral Scholar
EECS, UC Berkeley
Email: sjtu.haozhang AT gmail.com
Email: sjtu.haozhang AT gmail.com
I am starting as an Assistant Professor at Halฤฑcฤฑoฤlu Data Science Institute and Department of Computer Science and Engineering (affiliate) at UC San Diego in Fall 2023.
I study large-scale distributed ML in the joint context of ML and systems, concerning performance, usability, cost, and privacy. My work spans across distributed ML algorithms, large models, parallelisms, performance optimizations, system architectures, ML privacy, and AutoML, with applications in computer vision, natural language processing, and healthcare.
I am currently a postdoctoral researcher at the Sky Lab, UC Berkeley, working with Prof. Ion Stoica. I am recently working on the Alpa project and the Sky project, aiming at democratizing large models like GPT-3.
I completed my Ph.D. at the School of Computer Science, Carnegie Mellon University. My advisor was Prof. Eric Xing. My Ph.D. thesis is Machine Learning Parallelism Could Be Adaptive, Composable and Automated. During my Ph.D. I spent the majority of my time working for the ML startup company Petuum. During my postdoc I work closely with another ML startup company AnyScale. Several of my works including Poseidon, Cavs, GeePS, and Alpa are parts of the CASL project and the Ray project.
I am recruiting self-motivated PhD students, postdocs, and research interns who are interested in machine learning, systems, NLP, security, and the intersection areas!
๐ Please fill out this form and feel free to drop me an email if you are intereted in joining!
๐ If you are applying to PhD programs in HDSI/CSE/ECE at UCSD, or are currently a UCSD student interested in working with me,
see details here about how to get in touch!