Wyatt Lloyd

Wyatt Lloyd is a Professor in the Computer Science department at Princeton University, leading the S* Network Systems (SNS) group with Mike Freedman, Amit Levy, and Mae Milano. His research focuses on distributed systems, networking, and cloud computing, emphasizing consistency models, geo-replication, and fault tolerance. He holds a PhD from Princeton (2013), followed by a postdoc at Facebook and an assistant professorship at the University of Southern California before returning to Princeton in 2017.

Education:

• PhD, Computer Science, Princeton University, 2013
• Postdoctoral Researcher, Facebook, 2013–2014
• Assistant Professor, University of Southern California, 2014–2017

Research Interests: Lloyd’s work addresses tradeoffs between consistency guarantees and system performance in large-scale systems. Notable projects include TurboDB (NSDI ’24) for skewed workloads, Gryff (NSDI ’20) for consensus-unified storage, and Tectonic (FAST ’21), Facebook’s exabyte-scale filesystem. His group explores causal consistency, read-optimized transactions, and geo-distributed storage solutions.

Publications: Recent work spans concurrency control (Natural Concurrency Control, OSDI ’23), caching optimizations (Learning Relaxed Belady, NSDI ’20), and fault-tolerant systems (Speculative Recovery, ATC ’22). These contributions balance strong consistency with high performance.

Grants & Recognition: Supported by NSF grants (e.g., CNS Core, CISE), his work addresses modern distributed system challenges. Over 30 students have been advised, contributing to influential projects like Eiger, COPS, and Janus.

Labs/Teams: The SNS group at Princeton focuses on systems research, collaborating on projects like the S* Network Systems initiative. Tools developed include Eiger (Apache Cassandra fork) and frameworks for causal consistency and distributed transactions.