Oana Balmau is an Assistant Professor of Computer Science at McGill University with 12 years of experience researching computer systems, storage, and persistent memory for large-scale data management in ML, data science, and edge computing. She completed a PhD at the University of Sydney under Willy Zwaenepoel after advanced studies at EPFL, and her dissertation and industry internships produced practical systems like SILK and TRIAD that dramatically reduced tail latency and write amplification in LSM key-value stores. Her work bridges theory and production—she has extended RocksDB and influenced real-world storage stacks while consulting on RocksDB-based systems. Based in Montreal, she contributes to collaborative projects such as the DISCS lab and serves as an independent observer for MLCommons, reflecting a commitment to reproducible ML benchmarking. Comfortable working across Switzerland, the US, India, and Australia, she brings a global, interdisciplinary perspective to building resilient, high-performance storage for future hardware.
12 years of coding experience
5 years of employment as a software developer
Master Thesis Project Computer Science - Concurrent Algorithms, Master Thesis Project Computer Science - Concurrent Algorithms at Brown University
The University of Sydney
Master of Science (MSc) Computer Science Specialization in Internet Computing, Master of Science (MSc) Computer Science Specialization in Internet Computing at EPFL
Code for "SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores" published in USENIX ATC 19
Contributions:2 commits, 2 pushes, 1 branch in 1 day
atcstructuredlatency-spikesspikeslog-in
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