PhD, Computer Science
BS, Computer Science
BS, Molecular & Cellular Biology
Future of Programming (FP) Lab
Recent & Upcoming Talks
I lead the Hazel project, which has so far developed type-theoretic foundations for a new kind of live programming environment that can understand, manipulate, and run incomplete programs, i.e. programs with holes.
These papers serve as the foundation for our ongoing research into the future of programming environments.
Reasonably Programmable Literal Notation
My thesis research developed mechanisms that allow library providers to express new type-specific literal notation (e.g. SQL literals) while ensuring that client programmers can still reason abstractly and compositionally about types and binding.
Relit implements the mechanism from the ICFP 2018 paper into Reason, which is Facebook's new front-end for OCaml, and the Wyvern programming language implements the mechanism from the ECOOP 2014 paper.
Type-Specific Interactive Graphical Notation
We are working on mechanisms that allow you to define type-specific user interfaces that generate code underneath, i.e. they serve as interactive graphical notation. We have (1) implemented this mechanism for Java as an Eclipse extension called Graphite, (2) surveyed nearly 500 developers to empirically validate the mechanism and to gather a wide variety of use cases, and (3) performed a small pilot study.
typy: Programmable Semantic Fragments
typy allows library providers to install new statically typed semantic fragments into Python, while leaving its syntax alone (which cleverly sidesteps the "expression problem"). We have applied typy to problems in web security and data science.
SciUnit: Collaborative Infrastructure for Test-Driven Scientific Model Validation
One of the pillars of the scientific method is model validation: comparing a scientific model’s predictions against empirical data. The SciUnit project casts this as a form of collaborative software testing and develops useful infrastructure.
Neurobiological Circuit Dynamics
I entered grad school as a computational neurobiologist. I was interested in how biological circuits process information, so I developed a model of how the excitatory-inhibitory circuitry in the rodent whisker barrel cortex responds to stimulation.
Information Theoretic Foundations for Brain-Computer Interfaces
We built a provably optimal EEG-based brain-computer interface by studying the information theoretic properties of noisy asymmetric channels and developing statistical models of user intent for various types of communication/control tasks.