Iris Ivy Gauran

I work on the statistics of high-stakes decisions: false discovery rate control, high-dimensional hypothesis testing, and Bayesian inference, built for genomics, imaging, and public health data.

I am currently looking for the next place to put that to work. Ideally somewhere the same rigor applies to decisions that matter, where the answer is not already known.

A record of the research is on the Research page. I write about statistics, and the rest of life, in the Essays. Get in touch if this is relevant to what you are building.

KAUST’s “Meet the Postdocs” profile, on the work above.

Flyer for the KAUST Experimental Design Statistical Workshop, listing Iris Ivy Gauran among the four instructors

Invited instructor, KAUST Experimental Design Statistical Workshop — one of several ways the work above has shown up outside a paper.

Anything With Two Sides

Two villains from unrelated films meet at a flea market that never happened, over a worn coin and a deck of cards, and compare notes on why each one is really carrying what he carries.

The Seam Does Not Show Anymore

A room at the Royal Statistical Society in 1935, a friendship breaking apart in front of everyone, and two statisticians whose falling out never got the ending anyone expects.

One Napkin, Two Fires

A replica Mona Lisa burns in Glass Onion's finale, and years earlier a napkin finally proves whose idea a company was really built on.

What It Would Take, In Cups

An afternoon at an English research station, a story statisticians have retold for a century, and the woman most versions of it never bother to name.

Gifts to a Future Self

A mathematician too weak for real work after brain surgery, dealing himself hand after hand of solitaire, and a why-ladder that keeps closing on the same two answers.