Distributed systems are ubiquitious, but they remain notoriously difficult to reason about and program. Our research at Disorderly Labs operates at the intersection of distributed systems, data management, programming languages and formal verification. We build languages, models and tools to help tame the fundamental complexity of distributed programming.
Monkeys in Lab Coats: Applying Failure Testing Research @NetflixMonkeys in labcoats
Peter Alvaro is an Assistant Professor of Computer Science at UC Santa Cruz. He earned his PhD at UC Berkeley, where he was advised by Joe Hellerstein.
Kamala started her PhD at UCSC in Fall, 2015. Her interests include reasoning about large scale distributed systems and applied machine learning, specifically how and when we might be able to apply machine learning effectively to understand complex systems better.
Kathryn is a PhD student in Computer Science at UCSC. Her interests orbit research and developments in databases and distributed systems.
Tuan is a CS Ph.D student at UCSC, whose interests are in distributed systems and machine learning
Operator on the intersection of logic, statistical relational learning, and distributed systems.
Ashutosh is a M.S. student at U.C. Santa Cruz, interested in databases, distributed computing and machine learning.Read more about Ashutosh.
Sarah is a CS undergraduate student at UC Santa Cruz interested in distributed systems and databases.
Asha is an undergraduate CS student at UC Santa Cruz pursuing her interests in large-scale distributed systems and machine learning.