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Achievement: StarstruckAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3
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Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3
BetaSend feedback

Organizations

@tatonetti-lab @hetio
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zietzm/README.md

Introduction 👋

Hi there! I'm Michael Zietz. I'm a data scientist and genetics researcher, focused on developing new statistical and machine learnings methods with applications in healthcare and biomedicine. 🧬 I'm currently finishing my PhD in Biomedical Informatics at Columbia University DBMI, working with Nick Tatonetti. 🌃 Before that, I studied Physics at Penn, where did research on heterogeneous networks in the Greene Lab. 🕸️ I'm interested in methods development, reproducible research, and accelerating the pace of scientific progress on complex diseases. 🏥

💡 Some projects

Other tools 🔨

  • sumher_rs: Efficiently estimating a genetic covariance matrix using SumHer (code)
  • pymbend: Bending matrices to be positive semi-definite (code)
  • Micromanubot: A user-friendly build tool for academic preprints in LaTeX (code)

Pinned

  1. tatonetti-lab/indirect-gwas tatonetti-lab/indirect-gwas Public

    Fast GWAS on linear combinations of traits using only summary statistics

    Rust 5

  2. sumher_rs sumher_rs Public

    Heritability and genetic correlation from GWAS. Wrapper around LDAK for fast parallel computation

    C 4 1

  3. tatonetti-lab/maxgcp tatonetti-lab/maxgcp Public

    Maximum genetic component phenotyping

    Python 2

  4. micromanubot micromanubot Public

    A build tool for academic manuscripts

    Python

  5. hetio/xswap hetio/xswap Public

    Python library (C++ backend) for degree-preserving network randomization

    C 12 3

  6. abo_covid_analysis abo_covid_analysis Public

    Evaluating the association between blood group and COVID-19

    Jupyter Notebook 3 2