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ronikobrosly/README.md

About this page

Hi, I'm Roni 👋.

Check out my personal webpage here.

I'm the a Director of the Data Science at Capital One and based out of Silver Spring, Maryland. I'm also the creator and maintainer of the open-source python package causal-curve, which offers a collection of tools to perform causal inference analysis.

Feel free to drop me a message ✉️: [email protected]

Fun facts about me ⚡️:

  • I'm confident I'm the only person on earth with the name Roni Kobrosly (one of the perks of having a bicultural background).
  • My all-time favorite book is Don DeLillo's White Noise.
  • I've got a PhD in Epidemiology.
  • I make a very good scrambled eggs and hash brown breakfast. I mean really, really good. Really. 🍳
  • I'm a skeptic.

Some links

Popular repositories Loading

  1. awesome-data-leadership awesome-data-leadership Public

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  2. causal-curve causal-curve Public

    A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

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  3. scipy_2022_causal_inference_tutorial scipy_2022_causal_inference_tutorial Public

    A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

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  4. DAG_from_GNN DAG_from_GNN Public

    A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.

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  5. pydata_nyc_2022 pydata_nyc_2022 Public

    Causal inference teaching materials for a proposed PyData NYC 2022 tutorial

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  6. scipy_2023_causal_inference_tutorial scipy_2023_causal_inference_tutorial Public

    Materials for a proposed Causal Inference Tutorial session at SciPy 2023

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