Join us on June 8th for the UBC Statistics department colloquium. 🗣️Speaker: Stephanie Hicks, Johns Hopkins University 📌Talk title: Statistical methods for single-cell and spatial data science. 🕒3 - 4 PM 📍ESB 5104/5106 More details: tinyurl.com/32fdp7j3

🔔 New paper alert! 🔔 I’m excited to share our new paper published in Genome Biology! 💡 We wanted to shed some light on a big question in human biology: what shapes a baby's biology? Inherited genetics, prenatal environmental exposures, or both? We took this question to the epigenetics field!

In this interview, I explain how university research, when funded by independent #NIH #NSF federal grants, brings oversight to biotech to fuel innovation while keeping science transparent, reliable, and in service of the public good: hub.jhu.edu/2025/07/30/j... #ResearchMatters

🧬 Another new preprint out of the lab: a statistical method and software for cell-type deconvolution of methylated sequencing reads, led by Ning Shen! 🧵👇 doi.org/10.1101/2025...

We had a last minute cancellation for STAMPS -- a phenomenal course on microbiome data analysis. Woods Hole, MA, July 14-24 2025. If you or *anyone* you know is interested to attend, please email Titus &/or me... and we'll do what we can!!! Thx for sharing widely! 🤞❤️

Industry friends, now is the time for MUCH more speaking out on behalf of academic colleagues under duress. Here are core open source methods that many of your products doubtlessly depend on either directly or indirectly (see en.wikipedia.org/wiki/HMMER) being abruptly defunded. Make noise.

I just published a new #Rstats notebook to celebrate the release of {marginaleffects} 📦 0.26.0: Survival Analysis in R Please send me feedback, and don't forget to update the pkg for important bug fixes. Thanks to Robin Denz for his amazing work on this! marginaleffects.com/bonus/surviv...

Emails to academic medical oncologists with info about genomically matched therapeutic #clinicaltrials for pts with tumor progression based on AI interpretation of imaging reports did NOT ⬆️ trial enrollment. It's important to publish negative trials. #AI cannot solve EVERYthing. @jama.com

Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University! www.academictransfer.com/nl/jobs/3503...

The latest from the StatDivLab -- guidance for your #microbiome data analysis with a focus on the #statistics. Planning, deciding, modeling, justifying, communicating, visualizing... "Papers Need Friends" blog post coming shortly.

We have two vacancies for a postdoctoral and PhD researcher at Maastricht University. They will work on the development and application of value-of-information methods for the validation of clinical risk prediction models and medical AI. links below

A new year, a new article in print! doi.org/10.1186/s130... Now out in Genome Biology, work led by Ning Shen: vmrseq is a statistical approach & R package for probabilistic modeling of single-cell methylation heterogeneity. It identifies and ranks regions of variable DNA methylation across cells.

Great (and very well written - a joy to read) work by @giulianonetto.bsky.social and @keegankorthauer.bsky.social, with rigorous theory and extensive empirical analyses (and well documented software).

Happy to share the publication for BayesDCA! We developed Bayesian approaches for Decision Curve Analysis (DCA) to assess clinical prediction models and tests. Grateful for all the mentorship and support from @keegankorthauer.bsky.social! Quick summary below ⬇️