
ETOS
Efficient and Trustworthy
Operating, Open-Source, Operational Systems Group
The ETOS group builds and investigates core abstractions and techniques for improving the efficiency and trustworthiness of practical computer systems. We conduct research on operating systems, distributed systems, data privacy, web services, data center infrastructure, compilers, and security. ETOS builds practical, efficient, and easy-to-use working systems, and releases them as open-source software. We are part of the Systems Group at Brown CS.
Check out our publications for more about our current and past research. If you are interested in joining our group, see this page.
News
- October 2025: Our paper on Loom, a new high-performance storage and querying system for observability, appeared at SOSP 2025!
- July 2025: Our paper on finding privacy bugs with Paralegal appeared at OSDI 2025.
- May 2025: Artem and Corinn receive senior prizes from Brown CS.
- April 2025: Quicksand published at NSDI 2025.
- April 2025: Dual ETOS teaching honors: Kinan receives Brown's Presidential Award for Excellence in Teaching, and Malte receives the Philip J. Bray Award for Excellence in Teaching in the Physical Sciences.
- January 2025: Corinn and Artem receive recognitions for undergraduate research from CRA!
- November 2024: Our paper on end-to-end privacy compliance with Sesame appeared at SOSP 2024!
See all news.
Alumni
- Allen Aby (MSc 2024, → Microsoft)
- Artem Agvanian (ScB/MSc 2025, → Google)
- Kinan Dak Albab (PhD 2025, → Boston University)
- Megan Frisella (ScB 2024, → University of Washington)
- Aijah Garcia (ScB 2025, → Uncountable)
- Benjamin Givertz (ScB 2022, → Twitch)
- Hannah Gross (ScB 2023, → MIT)
- Aaron Rosario Jeyaraj (ScB 2023, → Crusoe Energy)
- Benjamin Kilimnik (ScB 2023, → New Relic)
- Eleonora Kiziv (ScB 2020, → Google)
- Vic Li (MSc 2023, → University of Washington)
- Shirley Loayza Sanchez (ScB 2024, → Google/Stanford University)
- Raj Paul (ScB 2023, → Oracle)
- Sinan Pehlivanoglu (MSc 2022, → VMware/Indiana University)
- Sreshtaa Rajesh (ScB 2023, → MIT Lincoln Labs)
- Yunzhi Shao (MSc 2022, → Amazon)
- Ishan Sharma (MSc 2022, → AWS)
- Leonhard Spiegelberg (PhD 2023, → Snowflake)
- Corinn Tiffany (ScB 2025, → Institut Polytechnique de Paris)
- Lillian Tsai (PhD 2024, → Google Systems Research)
- Carolyn Zech (ScB 2024, → AWS, Automated Reasoning Group)
- Livia Zhu (ScB 2023.5, → Databricks)
Support
Thanks to the National Science Foundation, Amazon, Google, Microsoft, and VMware for supporting our research.