Malte Schwarzkopf

Malte Schwarzkopf is an Associate Professor of Computer Science at Brown University. He was previously a postdoc at MIT CSAIL (2016-2019) and earned his PhD at the University of Cambridge (2016). His research spans distributed systems, operating systems, and privacy-preserving systems, focusing on building high-performance, user-friendly systems through novel abstractions.

• Education:
  • PhD, University of Cambridge, 2016
  • MA, University of Cambridge, 2013
  • BA, University of Cambridge, 2009

His work addresses critical challenges in datacenter scheduling, privacy compliance in web applications, and secure multi-party computation. Recent projects include Quicksand for resource allocation and Sesame for GDPR compliance by design.

Scientific awards include the Google ML and Systems Junior Faculty Award (2025), NSF CAREER Award (2021), Amazon Research Award (2024), and multiple best paper/test-of-time awards at NSDI (2015), EuroSys (2013, 2023), and VLDB (2025).

He has advised numerous students, including Justus Adam, Lillian Tsai, and Jon Gjengset, who are now at institutions like MIT, Google, and Stanford. His research is supported by NSF, Amazon, Google, Microsoft, and VMware.