Publications

More Publications

Please use the link above for a full list, which can be filtered to show only peer-reviewed articles appearing in journals or at major conferences.

Recent journal articles

Higher-order functions pose a challenge for both static program analyses and optimizing compilers. To simplify the analysis and …
PLDI 2023
PDF Project DOI

Despite decades of research and practical experience, developers have few tools for programming reliable distributed applications …
PVLDB 16.4
PDF Project Project Project DOI

Conflict-free replicated data types (CRDTs) are a promising tool for designing scalable, coordination-free distributed systems. …
OOPSLA 2022
PDF Project Project Project DOI

This paper proposes a new type system for concurrent programs, allowing threads to exchange complex object graphs without risking …
PLDI 2022
PDF Project Project DOI

Projects

*

We’re building new languages for safely programming with shared mutable objects. In our work, threads can freely exchange mutable objects and manipulate state concurrently—with no possibility of a destructive data race.

The Hydro Project at UC Berkeley is developing cloud-native programming models that allow anyone to develop scalable and reslilient distributed applications that take full advantage of the elasticity of cloud infrastructure. Our research spans across databases, distributed systems, and programming languages to deliver a modern, end-to-end stack for cloud programming.

Morphic is an experimental pure functional programming language designed to achieve performance competitive with imperative systems languages like C++ and Rust.

Gallifrey is a new programming language for distributed wide-area applications. Gallifrey programs share state via replication, granting fast access to data without introducing mandatory synchronization points, all while maintaining sequential consistency by default. Gallifrey aims to be easy-to-use, requiring a minimal annotation overhead atop an otherwise Java-like language.

Distributed Languages frequently either fail to capture replication, or insist in high-latency lockstep state machine replication. Storage systems which avoid both pitfalls often do so by weakening consistency. We try to rein in weak consistency and capture replication and concurrency, all while constructively avoiding races and allowing safe, loosely-synchronized replication.

Derecho is a new framework for building replicated, fault-tolerant distributed systems within a datacenter. It provides a best-in-class consistent multicast abstraction, and is easy to use via user-defined replicated objects and RPC.

Recent Talks

More Talks

Building a syllabus for a semester of undergraduate research.
Jan 6, 2024 9:05 AM PLMW at POPL 2024

Careful Language Design builds Better Systems
Sep 21, 2023 1:40 PM — 2:20 PM Papers We Love at Strangeloop 2023
Project Project Project Video

Presenting a new type system for Fearless Concurrency
May 30, 2023 12:00 AM — 12:00 AM MIT Programming Languages Review
Project Project

Building a syllabus for a semester of undergraduate research.
Dec 6, 2022 9:05 AM Doctoral Symposium at SPLASH 2022

Recent Posts

Princeton’s CS PhD program is now open and accepting applications
Last updated on 3 min read

My dissertation is now available here
Last updated on 3 min read

Presenting MixT, our language for sanely mixing distinct consistency levels within a single transaction. Now in Tech Report form!
Last updated on 2 min read

Teaching

CS 294-170: Graduate Seminar: Programming the Cloud

The public clouds are the most powerful general-purpose computers ever assembled, allowing individuals to rent their power at unlimited scale, on demand. This makes “the cloud” the biggest game-changer in computing access since the adoption of the PDP-11 minicomputer in the early 1970s. However, unlike the advent of UNIX and C for PDP-11, an organic programming model has yet to emerge for the cloud. History suggests that the real innovation on new platforms comes when the right programming model is introduced.

The challenge of helping developers program the cloud spans areas: Programming Languages, Distributed Systems, Databases, and Operating Systems, to name a few. In this seminar we will read research papers together, and bootstrap new efforts in this area.

CS 2043: Unix Tools and Systems

UNIX and UNIX-like systems are increasingly being used on personal computers, mobile phones, web servers, and many other systems. They represent a wonderful family of programming environments useful both to computer scientists and to people in many other fields, such as computational biology and computational linguistics, in which data is naturally represented by strings. This course takes students from shell basics and piping, to regular-expression processing tools, to shell scripting and Python. Other topics to be covered include handling concurrent and remote resources, manipulating streams and files, and managing software installations.

CS195r: Compilers

Compilers are a subject fundamental to Computer Science, helping bridge the gap between a program’s abstract semantics and the target machine’s capabilities. In this course, we follow Andrew Appel’s curriculum to design and build a compiler from scratch, in a radically collaborative and open-ended environment.