Currently having the Malatesta server computing the #SVD decomposition of a 1822461 by 1822461 matrix.

Using #julialang KrylovKit.jl it works so smoothly it's magic.

For a few (<10) svd vals it runs so quickly. Pushing it to 100 now, let's see! (Main limit now is the server's RAM, which was never that big. Thinking to move to #JuliaHub for those juicy machines)

#introduction
Hello! I am a medical doctor turned scientist (Dr^2).

I use MRI in conjunction with other data to measure disease progression and response to treatment in #chronicpain, #stroke, #SVD, and #dementia.

Pet project: outcomes and control groups in #clinicaltrials to account for #placebo / #nocebo

I also run (mostly off-road), take #photos (sometimes while running), drink coffee (mostly asleep), and wine (mostly blinded).

Hashtag collection:
#MedicalImaging
#WomenInSTEM