Malte Schwarzkopf

Associate Professor of Computer Science
ETOS and Systems Groups
Computer Science Department, Brown University

malte@cs.brown.edu
CIT 525

I'm interested in computer systems, especially distributed systems, operating systems, and privacy-preserving systems.

In Spring 2026, I'm co-teaching CSCI 0300: Fundamentals of Computer Systems with Deepti Raghavan. In Fall 2026, I will teach a new edition of CSCI 1670/1690: Operating Systems; stay tuned for exciting news on this!

Outside of CS, I enjoy history, woodworking, biking, and art.

News

• 2025/07: Received a Google ML and Systems Junior Faculty Award alongside other systems faculty at Brown.
• 2025/04: Received Brown's Philip J. Bray Award for Excellence in Teaching in the Physical Sciences.
• 2024/04: Received an Amazon Research Award for our work on privacy compliance by construction.
• 2023/05: The Omega paper wins the Test-of-Time Award at EuroSys 2023!
• 2023/05: Received a Barrett Hazeltine Citation for Excellence in Teaching, Guidance, and Support from Brown's Class of 2023.
• 2022/04: Received Brown's Henry Merritt Wriston Fellowship for 2022.
• 2021/04: Received a Google Research Scholar award.
• 2021/02: Received an NSF CAREER award for my work on privacy-compliance by construction in web applications.

Publications [all]

• Towards Building Rust-Based Systems with Confidence
  Corinn Tiffany, Artem Agvanian, Ziyun (Alice) Song, Isabella Szabo, Kinan Dak Albab, Will Crichton, Philip Levis, Akshay Narayan, Deepti Raghavan, Malte Schwarzkopf
  To appear at PLOS 2026
  
• Towards Practically-Secure Tools for AI Agents [ACM]
  Justus Adam, Yuchen Lu, Deepti Raghavan, Malte Schwarzkopf, Nikos Vasilakis
  EuroMLSys 2026
  
• Loom: Efficient Capture and Querying of High-Frequency Telemetry [ACM] [code]
  Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Nesime Tatbul, Andrew Crotty, David Cohen, Stan Zdonik
  SOSP 2025
  
• A Stakeholder-Based Framework to Highlight Tensions when Implementing Privacy Features [usenix]
  Julia Netter, Tim Nelson, Skyler Austen, Eva Lau, Colton Rusch, Malte Schwarzkopf, Kathi Fisler
  USENIX Security 2025
  
• Paralegal: Practical Static Analysis for Privacy Bugs [usenix] [code]
  Justus Adam, Carolyn Zech, Livia Zhu, Sreshtaa Rajesh, Nathan Harbison, Mithi Jethwa, Will Crichton, Shriram Krishnamurthi, Malte Schwarzkopf
  OSDI 2025
  
• Quicksand: Harnessing Stranded Datacenter Resources with Granular Computing [usenix] [code]
  Zhenyuan Ruan, Shihang Li, Kaiyan Fan, Marcos K. Aguilera, Adam Belay, Seo Jin Park, Malte Schwarzkopf
  NSDI 2025
  
• Sesame: Practical End-to-End Privacy Compliance with Policy Containers and Privacy Regions [ACM] [code]
  Kinan Dak Albab, Artem Agvanian, Allen Aby, Corinn Tiffany, Alexander Portland, Sarah Ridley, Malte Schwarzkopf
  SOSP 2024
  
• Edna: Disguising and Revealing User Data in Web Applications [ACM] [code]
  Lillian Tsai, Hannah Gross, Eddie Kohler, Frans Kaashoek, Malte Schwarzkopf
  SOSP 2023
  
• K9db: Privacy-Compliant Storage For Web Applications By Construction [usenix] [code]
  Kinan Dak Albab, Ishan Sharma, Justus Adam, Benjamin Kilimnik, Aaron Jeyaraj, Raj Paul, Artem Agvanian, Leonhard Spiegelberg, Malte Schwarzkopf
  OSDI 2023
  
• Towards Increased Datacenter Efficiency with Soft Memory [SIGOPS] [ACM]
  Megan Frisella, Shirley Loayza Sanchez, Malte Schwarzkopf
  HotOS 2023
  
• Unleashing True Utility Computing with Quicksand [SIGOPS] [ACM]
  Zhenyuan Ruan, Shihang Li, Kaiyan Fan, Marcos K. Aguilera, Adam Belay, Seo Jin Park, Malte Schwarzkopf
  HotOS 2023
  
• Nu: Achieving Microsecond-Scale Resource Fungibility with Logical Processes [usenix] [code]
  Zhenyuan Ruan, Seo Jin Park, Marcos K. Aguilera, Adam Belay, Malte Schwarzkopf
  NSDI 2023
  
• Retrofitting GDPR Compliance onto Legacy Databases [VLDB] [code]
  Archita Agarwal, Marilyn George, Aaron Jeyaraj, Malte Schwarzkopf
  VLDB 2022
  
• Privacy Heroes Need Data Disguises [SIGOPS] [ACM]
  Lillian Tsai, Malte Schwarzkopf, Eddie Kohler
  HotOS 2021 Best presentation runner-up
  
• Tuplex: Data Science in Python at Native Code Speed [ACM] [web] [code]
  Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska
  SIGMOD 2021
  
• AIFM: High-Performance, Application-Integrated Far Memory [usenix] [code]
  Zhenyuan Ruan, Malte Schwarzkopf, Marcos Aguilera, Adam Belay
  OSDI 2020
  
• Shared Arrangements: practical inter-query sharing for streaming dataflows [VLDB]
  Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe
  VLDB 2020
  
• GDPR Compliance by Construction
  Malte Schwarzkopf, Eddie Kohler, M. Frans Kaashoek, Robert Morris
  Poly 2019 workshop at VLDB 2019
  
• Learning Scheduling Algorithms for Data Processing Clusters [ACM] [arXiv:1810.01963] [website]
  Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh
  SIGCOMM 2019 – (See also our related ICLR'19 paper on reducing variance in training!)
  
• Towards Multiverse Databases [ACM]
  Alana Marzoev, Lara Timbó Araújo, Malte Schwarzkopf, Samyukta Yagati, Eddie Kohler, Robert Morris, M. Frans Kaashoek, Sam Madden
  HotOS 2019
  
• Conclave: secure multi-party computation on big data [ACM] [extended TR (with proofs)] [code]
  Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell, Andrei Lapets, Mayank Varia, Azer Bestavros
  EuroSys 2019
  
• Noria: dynamic, partially-stateful data-flow for high-performance web applications [usenix] [website] [code]
  Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, Lara Timbó Araújo, Martin Ek, Eddie Kohler, M. Frans Kaashoek, Robert Morris
  OSDI 2018
  
• Firmament: fast, centralized cluster scheduling at scale [usenix] [web] [code] – Now available for Kubernetes!
  Ionel Gog, Malte Schwarzkopf, Adam Gleave, Robert N. M. Watson, Steven Hand
  OSDI 2016
  
• Queues don't matter when you can JUMP them! [usenix] [website]
  Matthew P. Grosvenor, Malte Schwarzkopf, Ionel Gog, Robert N. M. Watson, Andrew W. Moore, Steven Hand, Jon Crowcroft
  NSDI 2015 Best paper award
  
• Musketeer: all for one, one for all in data processing systems [ACM] [website] [code]
  Ionel Gog, Malte Schwarzkopf, Natacha Crooks, Matthew P. Grosvenor, Allen Clement, Steven Hand
  EuroSys 2015
  
• Omega: flexible, scalable schedulers for large compute clusters
  Malte Schwarzkopf, Andy Konwinski, Michael Abd-El-Malek, John Wilkes
  EuroSys 2013 Best student paper award Test-of-Time Award
  
• Ciel: a universal execution engine for distributed data-flow computing
  Derek G. Murray, Malte Schwarzkopf, Christopher Smowton, Steven Smith, Anil Madhavapeddy, Steven Hand
  NSDI 2011
  

Students

• Justus Adam
• Morgan Borjigin-Wang (with Deepti Raghavan)
• Howie Chen
• Franco Solleza (with Stan Zdonik, Nesime Tatbul)
• Timothée Zerbib

• Ting He
• Katie Li
• Nathan Kim
• Faizah Naqvi
• Alexander Portland
• Sarah Ridley
• Isabella Szabo
• Julie Wang
• Adelina Zheng

• Alumni:
• Kinan Dak Albab (PhD, → Boston University)
• Corinn Tiffany (ScB, → INRIA Paris)
• Artem Agvanian (ScB/MSc, → Google)
• Aijah Garcia (ScB, → Uncountable)
• Allen Aby (MSc, → Microsoft)
• Megan Frisella (ScB, → University of Washington)
• Shirley Loayza Sanchez (ScB, → Google)
• Carolyn Zech (ScB, → MIT)
• Lillian Tsai (PhD, at MIT with Frans Kaashoek; → Google Systems Research)
• Livia Zhu (ScB, → Databricks)
• Leonhard Spiegelberg (PhD, with Tim Kraska; → Snowflake)
• Sreshtaa Rajesh (ScB, → MIT Lincoln Labs)
• Raj Paul (ScB, → Oracle)
• Vic Li (MSc, → University of Washington)
• Benjamin Kilimnik (ScB → New Relic)
• Aaron Jeyaraj (ScB → Crusoe Energy)
• Hannah Gross (ScB, → MIT)
• Benjamin Givertz (ScB, → Twitch)
• Ishan Sharma (MSc, → AWS)
• Yunzhi Shao (MSc, → Amazon)
• Sinan Pehlivanoglu (MSc, → VMware/Indiana University)
• Eleonora Kiziv (ScB, → Google)
• Jon Gjengset (MIT PhD, → AWS)
• Jackie Bredenberg (MIT MEng, → Ab Initio)
• Samyukta Yagati (MIT UROP, → UC Berkeley)
• Gina Yuan (MIT MEng, → Stanford University)
• Lara Timbó Araújo (MIT MEng, → Airbnb)

Courses

• Fall 2026: CSCI 1670/1690: Operating Systems
• Spring 2026: CSCI 0300: Fundamentals of Computer Systems (co-taught with Deepti Raghavan)
• Fall 2025: Parental Teaching Relief
• Spring 2025: CSCI 1670: Operating Systems (co-taught with Tom Doeppner)
• Fall 2024: Henry Merritt Wriston Fellowship Leave on Special Assignment
• Spring 2024: CSCI 0300: Fundamentals of Computer Systems (co-taught with Nick DeMarinis)
• Fall 2023: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2023: CSCI 0300: Fundamentals of Computer Systems
• Fall 2022: Junior Faculty Teaching Relief
• Spring 2022: CSCI 0300: Fundamentals of Computer Systems
• Fall 2021: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2021: CSCI 0300: Fundamentals of Computer Systems
• Fall 2020: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2020: CSCI 1310: Fundamentals of Computer Systems
• Fall 2019: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2018: 6.824: Distributed Systems Engineering (at MIT)

Service

Program Committee:

• SOSP 2021, 2024, 2026.
• OSDI 2020, 2021, 2022, 2023, 2024, 2026.
• NSDI 2025.
• EuroSys 2016, 2021, 2023, 2024, 2025.
• VLDB 2025.
• ASPLOS 2025.
• HotNets 2025.
• USENIX ATC 2020.
• SoCC 2020, 2022.
• SYSTOR 2019.
• HotOS 2021, 2027 (chair).

Support

My research is supported by the NSF, Amazon, Google, Microsoft, and VMware.

Personal

Before joining Brown, I was a postdoc in the PDOS group at MIT CSAIL. Prior to MIT, I spent several enjoyable years doing my PhD in the NetOS group in the other Cambridge.

You can find me on Twitter and GitHub. My wife, Julia Netter, is a political philosopher.