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@thehackerwithin @swcarpentry @Reproducible-Science-Curriculum @BerkeleyBiostats @vanderLaan-Group @tlverse @CoVPN
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nhejazi/README.md

👋 I'm Nima

  • I'm a (bio)statistician and postdoctoral researcher combining causal machine learning with non/semi-parametric estimation.
  • I enjoy developing open source software to improve the accessibility and increase the adoption of modern statistical techniques.
  • are you looking for open source software for targeted causal machine learning? check out the tlverse project and its handbook!
  • if we have shared interests and you'd like to chat about them, feel free to ping me on twitter or consider just contacting me directly.

Nima's github stats

Pinned

  1. tlverse/sl3 Public

    💪 🤔 Modern Super Learning with Machine Learning Pipelines

    JavaScript 93 31

  2. haldensify Public

    📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

    R 8 4

  3. 🤠 📿 The Highly Adaptive Lasso

    R 44 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 9 3

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

    R 8

2,441 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri
Activity overview

Contribution activity

May 2022

Created 1 repository
44 contributions in private repositories May 2 – May 14

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