Thrilled to share the second half of my PhD work here! We show how data on expression quantitative trait loci (eQTL) relates to the structure of gene regulatory networks (GRN). Much of the GRN / eQTL picture is unmapped, but what we do have says a lot… (1/) doi.org/10.1101/2025...

New paper from my lab! We describe our idea that high-throughput pooled experimental methods – typically used to test thousands of hypotheses at once – also have huge potential to help in “everyday” experiments testing one or a few focused hypotheses. Why? Two reasons: doi.org/10.1093/g3jo...

It’s done!!! ☺️ @wmata.com

Really excited to see this published! To more mum-finding 🍻

Excited to share a new update to Mumemto, scaling MUM and conserved element finding to any size pangenome! Preprint out now w/ @benlangmead.bsky.social. Mumemto scales to the new HPRC v2 release and beyond, and can merge in future assemblies without any recomputation! 1/n

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I'm defending my PhD next Friday, May 23!(!!!!). I'll be highlighting our work looking at aneuploidy in early human development. If you're interested I'd love to have you join via Zoom (DM me for info) or on the Homewood campus!

Really cool work from @arun-das.bsky.social on recovering sequence from unmapped reads (even with T2T reference or HPRC pangenomes!). Can recover a decent amount of sequence per individual using these approaches. Check it out!

Check out this new work from my friend Arun!! ⬇️

Biology of Genomes last week was awesome! Got some ideas in my poster session, met my online friends in real life, and saw a lot of cool new science #bog25

Excited for this - visualizing pangenomes!! #bog25

Excited to share our latest work on comparing and visualizing multiple genome assemblies to identify conservation and structural variation in pangenomes with Mumemto! Check out poster 250 at #bog25 if you are here. New preprint coming very soon 👀

If you are here at #bog25 please check out my poster (number 87) tonight! 😁 Showing our work on common variation associated with aneuploidy in human embryos

I am FLOORED by this painting of Fig 1 from my PhD project by my labmate @smyan.bsky.social. Thank you Steph ❤️

I had an incredible time at the Mutations in Time and Space conference last week! There were a ton of interesting talks and I so appreciate the engagement with my work. Excited for more! #MITS25

Enjoyed giving my talk yesterday at Mutations in Time and Space! Excited for two more days of #MITS25

Thanks to my lab mate @aabiddanda.bsky.social for this incredible gift!! I love the @wmata.com seasonal train 🥰🌸

Thrilled to see this work out - its been fascinating to look at statistical genetics in these IVF embryo datasets underlying meiotic aneuploidies and recombination! Joint work led with @saracarioscia.bsky.social. See thread below, thoughts welcome! www.medrxiv.org/content/10.1...

My main PhD work is up! See thread below. I would love to discuss! www.medrxiv.org/content/10.1...

Aneuploidy is the leading cause of pregnancy loss. In work led by @saracarioscia.bsky.social and @aabiddanda.bsky.social, we reanalyzed genetic testing data from 139,416 IVF embryos to discover variants associated with recombination phenotypes and aneuploidy risk. www.medrxiv.org/content/10.1...

I got the @wmata.com cherry blossom train this morning!!!! 🌸

Please, please engage with this call for input! This intersection is so! freakin! dangerous! for pedestrians and cyclists (and even cars!). We drafted responses for you in this post ⬇️⬇️⬇️

Sorry I missed your call, I just watched my @wmata.com rewind four times

Just edited directly on main on github.com and it.... felt great, as always

Kicking off the 2024 Chromosomes and Chromatin fall symposium with a talk by Sara Carioscia on the Genetic architecture of meiotic recombination and aneuploidy across 145,045 in vitro fertilized embryos. epigenome.jhu.edu

Join us Monday - my talk about genetic associations with aneuploidy in human IVF embryos is at 9:10am, and there are many great talks and posters to follow!

Aneuploidy is the leading cause of pregnancy loss. In our latest study (www.biorxiv.org/content/10.1...) led by undergrad Angela Yang, we used a simulation framework to infer rates of both meiotic (39-43%) and mitotic errors (1-3% per division) that best explain data from human IVF embryo biopsies.