Hi! I graduated from Cornell in August 2020 with a PhD in programming languages and systems at Cornell University, advised by Andrew Myers. My work at Cornell focused on programming languages and abstractions for wide-area or large-scale distributed systems; really anything where the round-trip latency for communication is way too high. I worked on programming replicated, distributed systems with Andrew Myers, and also worked extensively with Ken Birman and the Derecho group. This website was frozen in time back in 2020; to find my current work, please visit www.languagesforsyste.ms
PhD in Programming Languages and Systems, awarded 2020
Advised by: Andrew C. Myers
MS in Computer Science, 2017
ScB in Computer Science and Music, 2013
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.
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.
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.