The Semrau Lab is interested in quantitative stem cell biology. We use molecular profiling and machine learning to study iPSC-derived disease models.

New York Stem Cell Foundation
Joined September 2015
Using Cellular Potts Model simulations and accurate shape quantification we show that gastruloids are shaped by a combination of active cell crawling and differential adhesion.
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Congrats to the first authors Martijn de Jong and Esmée Adegeest on a great piece of research and thanks to @roeland_merks for a productive collaboration.
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identify post-transcriptional regulatory mechanisms. Thanks to @slavov_n for a great collaboration!
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Congratulations to DR. Maria Mircea for defending her PhD thesis today! It was a true honor to serve on her committee and I'm so inspired by the amazing work! Congrats also to @SemrauLab, the proud mentor!
Received my PhD today! Many thanks to my supervisor @SemrauLab. Thanks to @ItaiYanai for being part of my committee. And also thanks to my paranymphs @JuliaEckert10 and @GeorgeDadu_!
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Thank you @Siliegia for being an amazing PhD student! It was a pleasure to be your supervisor.
Received my PhD today! Many thanks to my supervisor @SemrauLab. Thanks to @ItaiYanai for being part of my committee. And also thanks to my paranymphs @JuliaEckert10 and @GeorgeDadu_!
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Happy to share that our study of co-differentiation of cardiomyocytes and endothelial cells from human iPSCs was published in Stem Cells academic.oup.com/stmcls/adva… Excellent work by @Xu_Cao_PhD and @Siliegia and a great collaboration with the Orlova lab.
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Big news: The Semrau lab has moved to @nyscf, the New York Stem Cell Foundation! We are excited to help realize the amazing medical potential of stem cells and look forward to collaborations with many excellent colleagues. If you like our research at the intersection of
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developmental biology, bioinformatics, deep learning and systems biology, join us! We have an opening for a postdoctoral fellow in computational biology jobs.lever.co/nyscf-2/740379… Please share with anybody who might be interested!
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After 4 days of exciting talks, posters, discussions and lots of fun, #CLD2022 finally came to an end today! A very big thanks to all the participants for joining us at #Alleppey for this Symposium and making it a huge success! Here's a group photo of all the CLD attendees! ✨
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Enjoying great discussions at #CLD2022 in beautiful Alleppey.
Replying to @NCBStheory
The next two sessions for Day 2 of #CLD2022 included some excellent talks by: - @ArjunGuha1 - @semrau_stefan - @shaon_chak - #PhilippThomas On a variety of topics ranging from cellular #lineages, #differentiation, plasticity, single cell molecules & stochastic #gene expression!
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A while ago @arjunrajlab asked: What are open conceptual questions in the single-cell field? My suggestion: How can we explain the scaling relationship between the number of cell types and the number of cells in an organism? 1/2
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Here's my answer: frontiersin.org/articles/10.… I hope you will find it interesting. Thanks a lot @arjunrajlab for getting me to think about this! I am also really grateful for encouragement and feedback from @ItaiYanai, @LaanLiedewij and Günter P. Wagner. 2/2
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New Night Science paper! "What puzzle are you in?" Doing science is like solving puzzles; of which we propose there are 4 Classes. But in a research project, you can't be sure what kind of a puzzle you're in; requiring "puzzle-switching". genomebiology.biomedcentral.… @MartinJLercher
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Thrilled to announce the 2022 Night Science 1 day workshop! Join us in Amsterdam August 9th to learn & practice the creative scientific process. Thank you to @BasTeusink and @AIMMS1 for hosting and enabling free registration (with lunch): tinyurl.com/y3u3x4sp @MartinJLercher
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Ever hear that ‘necessity is the mother of invention’? In our new work, we found that it’s also true for cancer cells as they continuously adapt to drug treatments. We call it a ‘resistance continuum’ that's dependent on treatment history. biorxiv.org/content/10.1101/… @Gustavo_SFranca
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Our new paper from @SemrauLab on clusterability of scRNA-seq data is now published in Genome Biology! The new name is phiclust and the code is available at Github github.com/semraulab/phiclus….
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