I joined the TensorFlow team at Google Brain in July 2018.
I received my Ph.D. in Computer Science from Princeton University, advised by Professor Michael J. Freedman. My research focuses on designing scalable, reliable, and highly-efficient distributed systems, which include topics on datacenter resource scheduling, big-data analytics, distributed machine learning, video stream processing, and in-network computing.
Previously, I interned at Facebook (summer 2017) and Microsoft Research (summer 2015). Before coming to Princeton, I received my B.Sc. in Computer Science from Peking University in 2013. I also received my B.A. in Economics (double major) from National School of Development.
Email: me (at) haoyuzhang (dot) org
Research Exchange Student, 09/2012--02/2013
Advisor: Daniel A. Freedman
Undergrad Member, 09/2011--09/2012
Advisor: Zhen Xiao
Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica
USENIX Symposium on Networked Systems Design and Implementation (NSDI '18). Renton, WA, USA
Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman
ACM Symposium on Cloud Computing (SoCC '17). Santa Clara, CA, USA
Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodik, Matthai Philipose, Paramvir Bahl, Michael J. Freedman
USENIX Symposium on Networked Systems Design and Implementation (NSDI '17). Boston, MA, USA
2017 | Program Committee: MobiSys Ph.D. Forum
2014--2015 | Publicity Chair, Association of Chinese Students and Scholars at Princeton University (ACSSPU)
2014--2016 | Publicity Chair, Princeton Association of Chinese Entrepreneurs (PACE)
|Email:||me (at) haoyuzhang (dot) org|
|Phone:||(650) [tu: oh θri:] 8976|
|Address:||Google Building 41|
|1600 Amphitheatre Pkwy|
|Mountain View, CA 94043|
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