Andrew Or

I am a second year PhD student advised by Mike Freedman. Previously I spent two years at Databricks developing Apache Spark, of which I am a committer. Before that I graduated from UC Berkeley in 2013 with a degree in EECS.

I am supported by the Gordon Y.S. Wu Fellowship for 2016-17.


SLAQ: Quality-Driven Scheduling for Distributed Machine Learning. Haoyu Zhang, Logan Stafman, Andrew Or, Michael J. Freedman. SOCC '17. [Best paper]

Scaling Spark in the Real World: Performance and Usability. Michael Armbrust, Tathagata Das, Aaron Davidson, Ali Ghodsi, Andrew Or, Ion Stoica, Matei Zaharia et al. VLDB ‘15.

Troubleshooting blackbox SDN control software with minimal causal sequences. Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Scott Shenker et al. SIGCOMM ‘14.