Published several papers on key-value store systems, such as KVell (SOSP '19), KVell+ (OSDI '20), SILK (ATC '19), SILK+ (TOCS '20), etc. These works provide important insights into understanding new storage technologies and their impact on future persistent key-value store designs.
Research Experience
Currently leading DISCS Lab, focusing on: 1. Systems for ML, contributing to the MLPerf Storage benchmark; 2. Edge computing, designing new frameworks for fast and secure edge computing. Previous research focused on key-value stores, developing systems like TRIAD, FloDB, SILK, and KVell.
Education
Completed her PhD in Computer Science at the University of Sydney in 2020, advised by Prof. Willy Zwaenepoel. Her dissertation research was on the design and implementation of efficient key-value stores for future hardware and performance requirements. Earned her Bachelors and Masters degrees in Computer Science from EPFL.
Background
She is an Assistant Professor in the School of Computer Science at McGill University, where she leads the Data-Intensive Storage and Computer Systems Laboratory (DISCS Lab). Her current focus is on storage and persistent memory technologies, with an emphasis on managing data for machine learning, data science, and edge computing workloads. She also holds a status-only appointment at the University of Toronto and is a working group chair for MLPerf Storage.