Haoyu Zhang is a Ph.D. student in Computer Science at Princeton University
(expected to graduate in 2018). During his Ph.D. study, he worked on designing
and building scalable and highly efficient distributed systems for big-data
analytics and machine learning, fault-tolerant network architecture, and
strongly consistent and ultrafast key-value service with programmable networks
(P4). He has published in several systems conferences including NSDI, SOSP and
EuroSys, and won the Best Paper Award at ACM SOCC. He previously interned at
Facebook and Microsoft Research, working on optimized Spark shuffle service and
video analytics systems, both deployed and running in production.