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ajinkya-k/README.md

Hi I'm Ajinkya,

I am a graduate student in Statistics at the University of Wisconsin--Madison advised by Prof. Sameer Deshpande. I am pursuing research in causal inference, machine learning and decision making. Currently, my work focuses on heterogenous treatment effect estimation, and causal inference for social networks. Prior to joining UW-Madison, I graduated with a MS in Economics and Computation at Duke University (2020). I got my undergraduate degree in Computer Science and Economics from BITS, Pilani. My CV and contact details can be found on my website.

Open Source Code: I have experience writing software packages and modules in R/C++. I also contribute to open source projects especially in the Julia and R ecosystems, see a summary of my contributions here.

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  1. nsyr-matching-testing nsyr-matching-testing Public

    Repository with code for the matching, testing, and simulation studies for the NSYR sports participation study.

    R 1

  2. flexBCF flexBCF Public

    Forked from skdeshpande91/flexBCF

    Faster and more flexible implementation of Bayesian Causal Forests

    C++

  3. GLM.jl GLM.jl Public

    Forked from JuliaStats/GLM.jl

    Generalized linear models in Julia

    Julia

  4. JuliaStats/MixedModels.jl JuliaStats/MixedModels.jl Public

    A Julia package for fitting (statistical) mixed-effects models

    Julia 420 49