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

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@tlverse @CoVPN
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nhejazi/README.md

hello, i'm Nima

I'm an academic (bio)statistician working at the interface of causal inference, machine learning, and non- and semi-parametric statistics. I'm passionate about building open-source software tools to improve the accessibility of modern, model-agnostic and assumption-lean methods for statistical inference and causal machine learning, and I'm especially 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? Maybe you should check out the tlverse project and browse our free open-source handbook!

Nima's github stats

Pinned

  1. tlverse/sl3 tlverse/sl3 Public

    💪 🤔 Modern Super Learning with Machine Learning Pipelines

    R 99 39

  2. haldensify haldensify Public

    📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

    R 16 5

  3. tlverse/hal9001 tlverse/hal9001 Public

    🤠 📿 The Highly Adaptive Lasso

    R 48 15

  4. tlverse/tmle3shift tlverse/tmle3shift Public

    🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

    R 14 1

  5. txshift txshift Public

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

    R 13 3

  6. Netflix/sherlock Netflix/sherlock Public

    R package for causal machine learning for segment discovery and analysis

    R 28 4