michael catchen

michael catchen

@mdcatchen.bsky.social

data scientist/research software engineer, Schmidt Center for Data Science and Environment @ UC Berkeley. building open software for bioacoustic monitoring. phd in ML for biogeography of species interaction networks. gottacatchenall.github.io he/him

4.2K followers488 following71 posts

michael catchen reposted

It's sort of generally accepted within ecology that Michael is a rare triple threat (brilliant, makes the best figures I've ever seen, and a poster at heart), but this is really some of the coolest work I've seen people share on here in a while. Check it out 👇

michael catchen@mdcatchen.bsky.social

the most interesting thing i worked on during my phd is now out as a preprint. ecoevorxiv.org/repository/v...

michael catchen reposted

Very forceful statement by Terry Tao about AI and math. terrytao.wordpress.com/2026/09/11/a... Note, he is not claiming the models aren't real and powerful. He's talking about how that power should be used. This, I believe, is what all AI discussions should center.

terrytao.wordpress.comA Severe Misalignment of AI in MathematicsI am proud to be among the list of 25 initial signatories — all Fields Medallists — to the declaration below, which grew out of discussions between ourselves over the last week. We have…

michael catchen reposted

Now out in PLOS Ecosystems! doi.org/10.1371/jour...

doi.orgA protocol for biodiversity-informed wildlife disease surveillanceAuthor summary The majority of infectious diseases that infect humans are zoonotic, meaning they circulate in wildlife populations and human infections arise from contact with wildlife, leading to tra...
michael catchen@mdcatchen.bsky.social

🚨🐭🦠 New preprint! Monitoring wildlife disease is expensive, so we need to be smart about where we sample to get as much useful info as possible. We show how SDMs can guide adaptive sampling for zoonotic disease surveillance, using case studies in rodents.

Now out in PLOS Ecosystems! doi.org/10.1371/jour...

doi.orgA protocol for biodiversity-informed wildlife disease surveillanceAuthor summary The majority of infectious diseases that infect humans are zoonotic, meaning they circulate in wildlife populations and human infections arise from contact with wildlife, leading to tra...
michael catchen@mdcatchen.bsky.social

🚨🐭🦠 New preprint! Monitoring wildlife disease is expensive, so we need to be smart about where we sample to get as much useful info as possible. We show how SDMs can guide adaptive sampling for zoonotic disease surveillance, using case studies in rodents.

🚨 New preprint! What happens to bumblebee pollination networks as species ranges shift due to climate change? 🐝🪻🕸️ In the Rocky Mountains, we predict these networks are becoming "vertically disassembled" as the ranges of interacting species shift upward in elevation at different rates.

In the hardest-hit spots, up to half of local interactions are lost, with the potential for new gained interactions not keeping up. But -- that mismatch map is also a priority map for monitoring the impact of network change on ecosystem function and implementing conservation action.

michael catchen reposted

Are interacting species showing more similar responses to environmental predictors than expected by chance? Is this similarity protecting species pairs from interaction disruption under climate change? If you want to find out, join us for a fully funded Ph.D. with @epic-biodiversity.org 🌎🧪

ÉPICBiodiversity@epic-biodiversity.org

Join us! We are looking for a Ph.D. student to work on the response of ecological network structure to environmental drivers; this line of research can be adapted to questions on climate change, phylogenetic conservatism, and more! 🧪🌎 epic-biodiversity.org/opportunities/

🚨🐭🦠 New preprint! Monitoring wildlife disease is expensive, so we need to be smart about where we sample to get as much useful info as possible. We show how SDMs can guide adaptive sampling for zoonotic disease surveillance, using case studies in rodents.

michael catchen reposted

This is, not a joke, one of my favourite papers in a long time. Absolutely stellar co-authors, but also a straight line from "nitpicky little nerds obsessing over sampling" to "translational research with clear implications for management". Go read all about it here: ecoevorxiv.org/repository/v...

ecoevorxiv.orgA protocol for biodiversity-informed wildlife disease surveillance
ÉPICBiodiversity@epic-biodiversity.org

🧪 New @mdcatchen.bsky.social preprint! Here's how we can decide where to look for wildlife disease, based on combinations of biodiversity, uncertainty, and prevalence data. This is a really cool paper, that is pushing the boundaries of what we can do with sampling and monitoring techniques.

michael catchen reposted

I'm just worried. Even pre-AI, it was really pulling teeth to get some (not all) PhD students to take the time to look up the formula the R package used, make sure its what they actually want to calculate, and validate what R spits out (note: I don't take students like this anymore)

michael catchen reposted

Noteworthy because it was my first time adding a polygon provider using the interface @mdcatchen.bsky.social built for one of our component packages 🎉

ÉPICBiodiversity@epic-biodiversity.org

We have added support for ESRI administrative areas to our species distribution #JuliaLang package — a lot more stable than GADM (although limited to level 1 divisions). 📗 Read more: poisotlab.github.io/SpeciesDistr...

michael catchen reposted

🦠🌿🐦🧪 How can biodiversity monitoring help global efforts in disease surveillance? With ✨ fantastic ✨ colleagues from @viralemergence.org and the @geobon.org working group on One Health, we try to identify three key lessons for the future. 🧵 A short thread! academic.oup.com/bioscience/a...

academic.oup.comBiodiversity science and biosurveillance are fellow travelersThe failure to meet the Aichi targets to alleviate global biodiversity decline (Nature 2020) was a wake-up call to the biodiversity monitoring community (T

michael catchen reposted

An update from the team on the uncertain future of our program and the impact of NSF budget cuts. Please share and reach out 🦠