Michael Zietz

I'm a researcher at Cedars-Sinai Medical Center. I develop new statistical and artificial intelligence methods for analyzing genetic and electronic health record data.

Here are a couple projects I'm most proud to highlight:

1. WebGWAS - A new statistical method I developed and implemented in a free public website. WebGWAS gives researchers access to a common genetic analysis in seconds instead of days, without needing to download private data.
2. MaxGCP - A data-driven method for defining disease states in observational data. MaxGCP is a new statistical method that gives a principled way to incorporate rich, high-dimensional data, boosting statistical power for common genetic tests.