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https://github.com/nhejazi/nhejazi

:wave: about me
https://github.com/nhejazi/nhejazi

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:wave: about me

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README

        

I'm an [academic (bio)statistician](https://www.hsph.harvard.edu/profile/nima-hejazi/).
My work sits at the interface of causal inference, de-biased and/or targeted
machine learning, semi-parametric estimation, statistical machine learning, and
computational statistics. Here are some more details:

- I organize the [NSH Lab](https://github.com/nshlab) (pronounced like "niche"),
a statistical science research group focused on developing novel theory,
methods, algorithms, and open-source software for causal-analytic and
statistical learning techniques. Work in my group is inspired directly by and
tied to data-driven, real-world questions in the biomedical and public health
sciences.
- A while ago, I co-created and served as a core developer for the [TLverse
project](https://github.com/tlverse), an open-source software ecosystem of
R packages for Targeted Learning; the project includes an [open-source
handbook](https://tlverse.org/tlverse-handbook) to guide implementation of
the techniques.

![nima's github stats](https://github-readme-stats.vercel.app/api?username=nhejazi&show_icons=true&count_private=true&theme=radical)