Oana Balmau
Assistant Professor at MLCommons
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolOana Balmau is an Assistant Professor of Computer Science at McGill University, focusing on computer systems, storage and persistent memory technologies for large-scale data management in machine learning, data science, and edge computing. Her PhD from the University of Sydney (2020), advised by Willy Zwaenepoel, explored efficient key-value stores to meet future hardware and performance demands. During a Nutanix internship she helped develop SILK, an I/O scheduler for LSM-based key-value stores that achieved USENIX ATC 2019 Best Paper recognition. She holds degrees from EPFL and Brown University and has worked across Switzerland, the USA, India and Australia, underscoring a strong commitment to diverse, collaborative research. Now based in Montreal, she contributes to the DISCS group at McGill and serves as an Independent Observer for MLCommons.
12 years of coding experience
5 years of employment as a software developer
Master Thesis Project, Computer Science - Concurrent Algorithms, 6/6, Master Thesis Project, Computer Science - Concurrent Algorithms, 6/6 at Brown UniversityBachelor of Science (BSc), Computer Science, 5.73/6, Bachelor of Science (BSc), Computer Science, 5.73/6 at Ecole polytechnique fédérale de LausanneThe University of Sydney
English, French, Romanian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
binary-search10
linked-lists10
benchmark9
storage9
hash9
queues8
data-structure8
skip8
machine-learning8
concurrent8
log-in8
lists7
hash-tables7
merge6
silk4
Programming languages (2)
Github contributions (5)
epfl-labos/TRIAD
May 2017 - May 2017
Contributions:2 commits, 2 pushes, 1 branch in 1 day
theoanab/SILK-USENIXATC2019
May 2019 - May 2019
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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