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@thehackerwithin @swcarpentry @Reproducible-Science-Curriculum @BerkeleyBiostats @vanderLaan-Group @tlverse
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👋 hey, i'm nima

  • i'm wrapping up my phd in biostatistics and will be starting a postdoctoral research fellowship working in statistical causal inference.
  • i enjoy working on statistical methodology and developing software for nonparametric causal inference and causal machine learning.
  • looking for open source software for targeted causal machine learning? check out the tlverse project and our open 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


  1. 💪 🤔 Modern Super Learning with Machine Learning Pipelines

    R 74 26

  2. 📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

    R 5 4

  3. 🤠 📿 The Highly Adaptive Lasso

    R 29 11

  4. 📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions

    R 6 2

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

    R 10 1

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

    R 7 3

2,544 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri
Activity overview
Contributed to CoVPN/correlates_reporting, tlverse/tlverse-handbook, nhejazi/haldensify and 5 other repositories

Contribution activity

May 2021

Created a pull request in CoVPN/correlates_reporting that received 4 comments

Stochastic CoP analysis

Updated code and report for the stochastic interventional risk and VE methods.

+997 −282 4 comments
Opened 4 other pull requests in 2 repositories
1 open 2 merged
1 open
Reviewed 2 pull requests in 1 repository
CoVPN/correlates_reporting 2 pull requests
Opened 2 issues in 2 repositories
1 open
1 open
92 contributions in private repositories May 3 – May 13

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