Personal details
Arnav S.
Timezone: Arizona (UTC-7)
Summary
Most of my experience is in doing Julia implementations of complex economic models. I'm fluent in advanced math and statistics, and have contributed packages to the Julia open-source community (e.g., QuantEcon/Expectations.jl, QuantEcon/InstantiateFromURL.jl, and arnavs/PkgUtils.jl).
I'm also familiar with infrastructural tools like Docker and JupyterHub.
Technical skills
Work Experience
Lead Developer
QuantEcon | Jan 2019 - Present
Git
Bash
Docker
Julia
Responsible for all aspects of our Julia content, including our lecture series (writing, updating, deploying, maintaining, etc.), various Julia packages, and infrastructural tools.
Predoctoral Fellow
UBC | Jun 2018 - Present
GitHub
Docker
Julia
TensorFlow
Implement complex economic models in Julia, contribute open-source packages in Julia, maintain backend Julia resources for research and teaching use, supervise undergrads working on computational economics projects.
Personal Projects
2019
Julia
Defines compact and behaviorally-faithful (e.g., scalar multiplication, vector action, etc.) expectation operators, which can compute expectations of arbitrary functions of a random variable. Gaussian quadrature is used for optimal selection of integration nodes and weights.