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causality, computing, & coffee
causality, computing, & coffee


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@thehackerwithin @swcarpentry @Reproducible-Science-Curriculum @BerkeleyBiostats @vanderLaan-Group @tlverse @CoVPN
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you've found Nima

I'm an academic (bio)statistician working at the interface of causal inference, machine learning, and non/semi-parametric statistics. I enjoy building open source software tools to improve the accessibility and adoption of modern methods for statistical inference and causal machine learning, and I'm particularly excited by the applications of statistics to the biomedical and public health sciences.

Are you looking for open source software for targeted causal machine learning? Consider checking out the tlverse project and browsing our (free) open source handbook!

Nima's github stats


  1. tlverse/sl3 Public

    💪 🤔 Modern Super Learning with Machine Learning Pipelines

    JavaScript 95 35

  2. haldensify Public

    📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

    R 11 6

  3. 🤠 📿 The Highly Adaptive Lasso

    R 46 12

  4. 🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

    R 11 1

  5. txshift Public

    📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

    R 11 3

  6. R package for causal machine learning for segment discovery and analysis

    R 14 1

1,536 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri
Activity overview
Contributed to tlverse/tlverse-handbook, nhejazi/haldensify, nhejazi/medoutcon and 20 other repositories

Contribution activity

November 2022

43 contributions in private repositories Nov 3 – Nov 25

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