So grateful to have been a part of this project! I really enjoyed leading the #Xenium case-control analysis to identify schizophrenia-associated gene expression changes with #spatial context, at #singlecell resolution!

I recently had the chance to stage at a local restaurant for a couple of nights! As a PhD student who loves cooking, I’d always wanted to do this but never had the chance. Surprisingly, I ended up learning some lessons that apply to doing research too 👩‍🍳: cindyfang70.github.io/posts/2025-0...

so excited to share that our preprint characterizing the dorsal anterior cingulate cortex in post-mortem human brain from @lieberinstitute.bsky.social is out! we integrated matched SRT and snRNA-seq data to investigate agranularity and von Economo neurons

🚨 New paper published in @natmethods.nature.com! We introduce SpotSweeper, the first spatially-aware QC methods for spatial transcriptomics. 📰 Paper : nature.com/articles/s41... 💻 Code: github.com/MicTott/Spot... 📈 Website: mictott.github.io/SpotSweeper/ 🧵👇

Excited to announce that I'll start as a tenure-track assistant professor @uofuphs.bsky.social this fall. #BiostatsElevated The #GUOmics lab will focus on developing biologically informed machine learning methods to decode spatial and population-scale omics data. Look forward to exciting colabs!

Just wrote up a quick blog post on why p-values are uniformly distributed under the null hypothesis! cindyfang70.github.io/posts/2025-0...

Congratulations to @findycang.bsky.social from @jhubiostat.bsky.social who did an amazing job presenting her work at #biodata24 tonight! Preprint coming soon. ☺️ #ProudPI #stats #spatial #omics #transferlearning 🧪🧬🖥️🧠📈