My work so far involves a mix of open-source tools and economic projects. Here’s a sample of each.

The

`QuantEcon/Expectations.jl`

package, which defines callable expectation operators around Julia distribution objects.The

`QuantEcon/InstantiateFromURL.jl`

package, which lets Jupyter notebooks refer to Julia dependency information that’s stored and tracked in a GitHub repository.A template for using

`PackageCompiler.jl`

to produce myBinder instances with “overclocked” (fully AOT-compiled) Julia packages.

A small note on optimal stopping problems, how to formulate them as linear complementarity problems, and solve the resulting LCP in Julia. Joint with my supervisor, Prof. Jesse Perla.

A codebase for Perla, Tonetti, Waugh (2018), which is a model of how increased competition leads to firm-level productivity gains. This involved: solving a differential system in steady state; implementing the model as a Differential Algebraic Equation (DAE); and writing code to handle transition dynamics in response to shocks.

A Julia implementation for a paper of Prof. Laura Veldkamp’s, while I was her RA at NYU.