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Looking forward to interesting talks and posters in this beautiful location #PEQG22. Come stop by tonight for pop gen statistics with pool sequencing, poster 276W!

.Lucas Czech presenting his computational tools for efficient analysis of pool seq data and allele frequencies, with matching shirt 🌱

Had a stare-off with friend Raccoon last night in the Pirate Den at #PEQG22 🧐

The postdoc labor shortage isn't a labor shortage, it's industry out-competing academia for good talent by offering higher wages. science.org/content/articl…

It's worth spending some time discussing what this new @whitehouse Open Science policy does and doesn't do, and what is still be to determined. whitehouse.gov/ostp/news-upda…

Have you ever fought with SNP calling software? (rhetorical, of course u have!) Check out our latest Bioinformatics Oxford Journals paper led by Lucas Czech doi.org/10.1093/bioinf… A pipeline automating everything from fastq 2 variants Carnegie Plants @CarnegieScience Stanford University

Our paper "Genetic diversity loss in the Anthropocene" is out in Science Magazine! We study how genetic diversity is lost by habitat loss to help define UN Biodiversity #Sustainable targets science.org/doi/10.1126/sc… @CarnegieScience Carnegie Plants Carnegie Ecology Stanford University

Excellent academic work meets creative mind: Our student Thomas Huber blew us away with this lyrical abstract of his thesis on neural climate models 😍

Wide-ranging consequences of priority effects in ecological communities can be surprisingly simple to explain. Accepted eLife - the journal manuscript led by Callie Chappell (Callie Chappell) posted today, full online version to follow. elifesciences.org/articles/79647

Finally a generation of young experts that can bring about the desperately needed change! Politics has been concerned with profits instead of solutions for far too long! Lupita Rivas Royg

Fun with phylogenetic placements! That's like taxonomic assignment, but with colors! ;-)

All those new AI driven code suggestion tools are a great resource. However, I think a major task now will be to avoid that future programmers just blindly rely on these, as that will lead to replication (and probably self-reinforcement) of suboptimal code. (1/2)

So together with ETH Zürich MIT Media Lab filecoingreen Björn Lütjens 🌍 Lucas Czech WWF FSC Indigenous Foundation SimplexDNA 🧬🌍 Gainforest.Earth Celo Camille Rivera Dava Newman and many more, we build a system to reward local communities for data. End-to-end. And tested it out in Cagwait, Philippines 🇵🇭

me: makes all figure in pdf form, so they are infinitely scaleable without loss of resolution journal: please convert to tiff or eps, both of which look like garbage at the maximum allowed file size. Thanks! me:

Come join us at #evolution2023, with several hot topics from the #moilab

Getting ready for #evolution2023 #evol2023 - come find my talk, Friday 23rd, 4:30pm, Brazos/115: "Population genetic statistics for the next generation of pool sequencing" Also don't miss out on the other #moilab talks: Tati Bellagio Kristy S. Mualim Lauren Gillespie @LauraCLeventhal

Our new preprint is out! grenedalf: population genetic statistics for the next generation of pool sequencing Preprint: arxiv.org/abs/2306.11622 GitHub: github.com/lczech/greneda… with @spence_jeffrey_ and Moi Expósito-Alonso (#MOILAB) also to be presented at #evolution2023

New Climate Change AI blog post by Lucas Czech, Björn Lütjens 🌍 & David Dao presenting ForestBench and talking about their efforts in technological innovation and community engagement for carbon data collection in the Global South. Read more: climatechange.ai/blog/2023-11-2…

New paper from our #MOILAB at OUP Bioinformatics from Lucas Czech w/ long term collab @spence_jeffrey_ Lucas created a ⚡️speed C++ code for popgen analysis using Pool sequencing! github.com/lczech/greneda… UC Berkeley HHMI Stanford University Carnegie Science doi.org/10.1093/bioinf…

Excited to release a huge evolution project on the works for many years: An experimental evolution project across climates to understand rapid adaptation Preprint: doi.org/10.1101/2025.0… All data available: grene-net.org/data #MOILAB UC Berkeley HHMI 🧵👇