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followers: 14.0 following: 5.0 repos: 36.0 gists: 2.0

Name: Michael Zietz

Type: User

Company: Columbia University

Bio: Biomedical Informatics @ Columbia with @tatonetti-lab. Previously Physics @ Penn with @greenelab.

Twitter: ZietzMichael

Blog: zietzm.com

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

Indirect GWAS: Fast GWAS on linear combinations of traits (analysis, preprint)
MaxGCP: Optimal genetic phenotyping for complex disease research (analysis)
COVID Blood type: Study of the relationship between ABO type and COVID-19 (analysis, paper, New York Times)
XSwap: A fast implementation of degree-preserving network randomization (analysis, paper)

Michael Zietz's Projects

abo_covid

https://zietzm.github.io/abo_covid/

abo_covid_analysis

Evaluating the association between blood group and COVID-19

ace_covid_manuscript

biorxiv-co-authorship

BioRxiv co-authorship network

broom

Convert statistical analysis objects from R into tidy format

course-notes

dfs-sudoku-solver

Brute-force (depth-first search) Sudoku solver in Python

epistasis-analysis

Data analysis for class project in Biology 431

gromacs

gwas_replication

Short investigation of GWAS replicability in T2D for EUR/JPN/AFR populations

hail-emr

Simple tool to run hail on AWS EMR

igwas

Fast GWAS on linear combinations of traits using only summary statistics - Rust re-implementation

indirect-gwas

Fast GWAS on linear combinations of traits using only summary statistics

integration-review

Network Methods for Multiomic Data Integration: Review Paper for BMIN 501

ldsc

LD Score Regression (LDSC)

map-modifiers

Severity-focused biomedical concept normalization in Python

maxgcp

Maximum genetic component phenotyping

modifiers-analysis

Data and analysis for the map-modifiers project

nsides-release

Analysis notebooks and database interaction scripts for the nsides project

observe

phenotype_standardization

https://github.com/zietzm/phenotype_standardization/wiki

phenotypesimulator

prs-portability

Portability of polygenic risk scores between and within populations

pymbend

Bending non-positive-definite matrices to positive-definite

pytinytex

Thin wrapper for "TinyTeX" (MIT)

repodb

Extracting a gold standard of drug repurposing success and failure. Data from github.com/adam-sam-brown/repoDB

s-pcgc

Heritability, genetic correlation and functional enrichment estimation for case-control studies

sgkit

Statistical genetics toolkit

sumher_rs

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

tcga_crosstab

Course project

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