I’m a graduate student studying computer science at University of Toronto under the co-supervision of Gennady Pekhimenko and Eyal de Lara.

My research interests broadly cover GPU cloud computing, profiling and optimizing machine learning workloads, and mobile computing topics including on-device training and OS level security.

News:

• Published: May 06, 2022

  Workshop paper on optimizing the time-consuming data collection phase of RL training accepted at MLBench 2022.

• Published: April 07, 2021

  Open sourced RL-Scope on github; profile your RL workloads today!

• Published: January 18, 2021

  RL-Scope accepted at MLSys 2021.

Links:

• Ecosystem - Gennady Pekhimenko’s group focussed on systems and architecture approaches to accelerating emerging workloads such as machine learning.