🎉Our paper on #PDAC and #Pancreatitis organoid multistroma #cocultures is on the cover of @NatureCellBio! Congratulations to the whole lab!!

Almost 10 years (🤯) after my postdoc paper in @JExpMed, here we are again!! So poetic!

nature.com/articles/s4155…

Excited to share the findings from our collaborative work with the POP study. Isthmin-2 is the strongest first-trimester predictor of both preeclampsia and fetal growth restriction. nature.com/articles/s4159…

And one of our outputs as part of the In Utero programme was published today!

In our paper in Nature Medicine, we identify a placental protein that outperforms existing first-trimester biomarkers at predicting preeclampsia and fetal growth restriction, and for which there is evidence of direct involvement in the biology of failed placental invasion.

Led by Ruoyu Miao, Sungsam Gong, Ulla Sovio and Irving Aye, with Gordon Smith, Stephen Charnock-Jones and myself as joint senior authors.

cam.ac.uk/research/news/…

Paper here: nature.com/articles/s4159…

And commentary here: science.org/content/articl…

It's been great to be a co-PI of the University of Cambridge team participating in the Wellcome Leap In Utero programme. The programme has changed my way of thinking about how I do research, and has generated some amazing results!

This video provides some background about what why. You'll notice that I stumble over the word "statistical" 🤦‍♂️

Congratulations to Dr Sungsam Gong and co-authors on their #OpenAccess paper on the prediction of complications of human pregnancy using cell-free RNAs, published in @NatureComms! @sunggong

Great to catch up with former members of my group (and of @MRC_BSU), @johan_vdmolen and @ltronneberg, during the 14th International Conference on Bayesian Nonparametrics at UCLA! Thanks to the organisers and to everyone who attended my talk on Federated Variational Inference for , which showcased work from @jackierao_ 's PhD.

New article in @bmj_latest - 'AI in healthcare: what does good evidence and regulation look like?'

Paul Kirk, Programme Leader at BSU, quoted on what gold standard evidence looks like for AI technologies.

Full article:
bmj.com/content/389/bm…

#AI #healthcare

New preprint and Python software from @EmmaPrevot7 implementing an annealed variational Bayes algorithm for fitting high-dimensional mixture models while performing variable selection, with contributions from @pagani_filippo and @rory_toogood arxiv.org/abs/2411.19262

@EmmaPrevot7 @pagani_filippo @rory_toogood The majority of the work was completed as part of Emma's project for the MPhil in Machine Learning and Machine Intelligence, undertaken at @mrc_bsu

New R package from @jackierao_ @MRC_BSU implementing variational Bayesian finite mixture models to cluster categorical data, with variable selection and semi-supervised outcome guiding if desired. cran.r-project.org/web/packages/V…

For further details, see the preprint from Rao and Kirk (2024) [updated version coming soon!] arxiv.org/abs/2406.16227

Still time to apply for 2 exciting roles in our new Biostatistical Machine Learning theme, working with @pauldwkirk & Sach Mukherjee

Independent Junior Group Leader
jobs.cam.ac.uk/job/48012/

Research Associate
jobs.cam.ac.uk/job/48013/

#MachineLearning #DataScience @Cambridge_Uni

Kicked off by @jakelever0, the Glasgow University Computational Biology Conference 2024 begins with the first talk delivered by Dr Paul Kirk from the MRC Biostatistics Unit at the University of Cambridge. @glasgowcompbio #cbc24

Sun is shining in Glasgow (as always) and a great great start to #cbc24 with a keynote from Paul Kirk.

@glasgowcompbio

And so we start with a beautiful talk from @pauldwkirk explaining Bayesian multi-view clustering techniques with big data #cbc24

We are recruiting for a Senior Teaching Associate for the @Cambridge_Uni MPhil in Population Health Sciences - Teaching in #Epidemiology, #Biostatistics and #InfectiousDiseases

60 - 100% FTE

Find out more and apply 👇
jobs.cam.ac.uk/job/47728/

@zakkal @DPHPC