Amy D Willis

@amydwillis.bsky.social

Biodiversity-loving, error bar-needing statistics nerd; Associate Professor @UWBiostat. Methods & software for #microbiome & #biodiversity data. She/her.

13. Hence our dismal conclusion: rather than finding that LLMs free us to do a better job of what we were doing before they came along, they shift scientific incentives (and the playing field of academic competition) in ways that compel us to do more and more, faster and faster, less and less well.

Genuine question for folx who look at bacterial phylogenies: How do you interpret the bootstrap support and posterior probabilities that you get on your tree estimates? Do you take them seriously? Do you think: "Wow, all 99%, that must be a reliable tree!"? 1/

I'm hiring a #postdoc!! 🥳 Official ad is making its way through HR but If you have interests in statistical methodology OR microbial bioinformatics, please reach out via my UW email. I'll share the description with you when it's available. 🔥😻

radEmu took the cake today. I'm looking at a dataset where the truth is known (a complex spike-in, spiked-in at varying intensities). All taxa should be unchanging in abundance except for the spike-ins... True "positives": 6 / 1505 radEmu score tests identifies 7 CLR + linear model identifies 517

Thanks for corroborating!! We've seen again and again that ALDEx2's p-values can be either very conservative (= underpowered) or very anticonservative (= wrong), but this points to something more problematic, such as a mistake in how they're being calculated.

ALDEx2's p-values are unusually strongly correlated with its effect sizes. Has anyone else noticed this? That... shouldn't happen. Data is actual shotgun coverages, ~8000 "taxa", 57 samples.

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We had a last minute cancellation for STAMPS -- a phenomenal course on microbiome data analysis. Woods Hole, MA, July 14-24 2025. If you or *anyone* you know is interested to attend, please email Titus &/or me... and we'll do what we can!!! Thx for sharing widely! 🤞❤️

Titus Brown@titus.idyll.org · last yr.

Hi folks, we had a last minute cancellation at MBL STAMPS, the microbiome data analysis course in Woods Hole that runs from July 14th to July 24th. We can provide housing space for a woman. If you or anyone you know is interested, pls drop me an e-mail at ctbrown@ucdavis.edu. Thx!

The StatDivLab is *fully* reliant on our NIGMS #MIRA R35 to bring you top-quality statistical methods for microbiome research. #NIH They are quietly taking MIRAs away from this year's applicants. It's sneaky and scary. Fight back! Call your reps and tell them to protect science!

Mark Peifer (He, him)@peiferlabunc.bsky.social · last yr.

The fantastically successful NIGMS MIRA R35 "expired" on May 17, after the most recent deadline--these removals are the most aggressive attack on American science in the current series of devastating actions 🧪

The latest from the StatDivLab -- guidance for your #microbiome data analysis with a focus on the #statistics. Planning, deciding, modeling, justifying, communicating, visualizing... "Papers Need Friends" blog post coming shortly.

Nature Microbiology@natmicrobiol.nature.com · last yr.

A must-read for any microbiome researcher 🦠📐and a new addition to our #bestpractices series Planning and describing a microbiome data analysis by @amydwillis.bsky.social and @davidandacat.bsky.social www.nature.com/articles/s41...