Reach out to me via DM or email if you would like guidance or feedback!

We will discuss principles of science communication, go over the basic structure of an op-ed, and work through some brainstorming and freewriting exercises to compile a draft.

We will also walk you through the process of contacting your local paper and getting the piece published.

Check out @maikemorrison.bsky.social's thread and R package for more! Maike is a wonderful collaborator and a gifted and enthusiastic communicator of math and statistics and has developed a method that I think will be very useful for the community.

Traditional metrics like Jaccard distance or Jensen-Shannon divergence quantify the distance between pairs of samples, but FAVA lets you compare multiple samples at once. FAVA also has convenient mathematical properties that allow comparisons between multiple datasets.

And thanks to our mentors KC Huang, David Relman, @benjaminhgood.bsky.social, and @petrovadmitri.bsky.social for their insights and support!

Congratulations to @goldmandoran.bsky.social, whose creativity and insight turned a simple experiment into a beautiful and complex story - working with you has been one of the best parts of my postdoc.

I'm grateful to my mentors @jbloomlab.bsky.social, @petrovadmitri.bsky.social, @benjaminhgood.bsky.social, David Relman, and KC Huang for their support, and I'm absolutely thrilled to be joining the incredible community of microbial ecologists and evolutionary biologists at UCI! n/n

I'm also passionate about science writing and wrote about viral evolution, scientific uncertainty, and immune memory during the COVID pandemic: katherinesxue.com/writing/ 8/n

Recent work on SARS-CoV-2 has provided more evidence that new diverged, viral lineages can emerge from long-term infections in immunocompromised patients. Check out our flu work here: elifesciences.org/articles/26875 7/n

Also, as a graduate student, I studied how influenza viruses evolve during chronic infections in immunocompromised patients. We found that a small set of antigenic mutations became dominant in multiple patients in our study and also spread in the global influenza population in later years. 6/n

Using follow-up experiments and consumer-resource models, we showed that introduced species show stronger dose dependence when they have high niche overlap with resident species. More here: www.biorxiv.org/content/10.1... 5/n

I also worked with the amazing @goldmandoran.bsky.social to study how the outcomes of species introductions are influenced by the number of introduced microbes. In mixtures of in vitro gut communities, species showed behaviors ranging from dose independence to strong dose dependence! 4/n

New strains and species also show abrupt, clustered, historically contingent colonization dynamics, suggesting that generalized priority effects slow the pace of microbiome recovery after major perturbations. Read more here: www.biorxiv.org/content/10.1... 3/n

As a postdoc, I've tracked how new microbes establish in the gut microbiome after a controlled antibiotic perturbation. We expected an influx of new microbes after antibiotics, but new microbes often took months to establish, even after major perturbations that caused widespread species losses! 2/n