I am a supporter of open-source software and science. I believe it will lead to better and more trustworthy science.

---

Open-Source Data Analyses

I regularly make my analytic code for publications available here. My publication code is also stored long-term on Zenodo.

---

Some of my free and open-source software contributions are

Python

Delicatessen

I am also the creator of delicatessen, a Python library for generalized M-estimation. Some tutorials demonstrating the utility and flexibility are provided here. An associated pre-print is available on arXiv.

zEpid

I am the creator of the zEpid Python library, a open-source library for epidemiologic analyses and quantitative causal inference. Various tutorials are available here and replications of published analyses using zEpid are here.

MossSpider

MossSpider is a Python library for targeted maximum likelihood estimation with network-dependent data and stochastic policies. This library is part of my dissertation work. Details and examples are provided here.