👨🔬🧬 using 🧫 & 💻 to study how cells go rogue at @NKI_nl • Previously @EMBLEBI, PhD from @Cambridge_Uni • #cancer #aneuploidy #omics #rstats, dash of #hpc
Amsterdam, Nederland
Joined August 2014
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Michael Schubert retweeted
Ralph Baric and Ian Lipkin in the NYT raising the alarm on a new Cell paper where Wuhan Institute of Virology scientists experiment on ANOTHER coronavirus that can infect humans under grossly inadequate biosafety precautions.
“could have significant risks for people worldwide.”
Michael Schubert retweeted
📢 Applications for the NKI PhD program open from Jan 1 - Feb 28. Join our international research community in Amsterdam, working in cancer biology, AI research & life sciences with leading scientists and top facilities #PhD #CancerResearch More info: bit.ly/3O4bOjq
Michael Schubert retweeted
I remain of the view that the disengagement of academics from this forum was a hugely self-defeating gesture. It scuttled what had been an unprecedented resource for academic communication and a valuable platform for public outreach.
Michael Schubert retweeted
"Quitting science", as if industrial research doesn't exist and/or there is shame in putting your *very* expensive degree to work in high level tech support, consultation, contract research, tutoring, entrepreneurship, etc, etc. Weird culty language to say leaving academia, tbh
Nearly 50% of researchers quit science within a decade, huge study reveals go.nature.com/3Y9H9a9
Michael Schubert retweeted
Our Review on “Aneuploidy as a driver of human cancer” is out in Nature Genetics. Check it out! 🎉
The Ben-David lab wishes everyone Shana Tova — may the new year be much better than the ending one, bringing peace and stability to all! 🙏
nature.com/articles/s41588-0…
Michael Schubert retweeted
It's great to see my first paper of the PhD published in @NatureBiotech! go.nature.com/47ARizC. This describes our scRNA-seq method, scITD, for analyzing how the transcriptional states of multiple cell types are linked across patients. A few highlights from the paper:
Michael Schubert retweeted
Can cells adapt to aneuploidy? Our new study reveals that reducing chromosomal instability and inflammation is key to adaptation. Thanks for everyone that contributed! @_ms03 @marsotordlt @JonneRaaij @MedemaRene
embopress.org/doi/full/10.10…
Michael Schubert retweeted
When dealing with a complex problem with many unknowns, humility is key. If you think you know what you're doing, you probably don't know what you're doing. Be aware of your own biases & weaknesses, and hedge your potential mistakes.
Don't be fooled by confidence -- it's often a mask for ignorance.
Michael Schubert retweeted
Premature abstraction is WAY more prevalent and worse than premature optimization and really handcuffs code bases for years and years.
Michael Schubert retweeted
Attention grant reviewers: power analysis is an exercise in box ticking that we can all do without.
Michael Schubert retweeted
B lane swimmers
holly.witteman.ca/the-b-lane…
Michael Schubert retweeted
As a multidisciplinary field, it is hard to be good at bio, programming, stats, maths.
For those coming from bio, hurdles were coding, stats & maths.
For those coming from CS, understanding concepts in bio (e.g. statistically meaningful != biologically meaningful).
Michael Schubert retweeted
Check out our latest pre-print on adaptation to aneuploidy! Thanks to everyone who contributed @DorineHintzen @marsotordlt @_ms03 @MedemaRene
Delighted to share that our latest preprint is out! biorxiv.org/content/10.1101/…
Something to read during the holidays! 🎄✨ Thanks to all contributors @JonneRaaij @_ms03 @marsotordlt @MedemaRene
Michael Schubert retweeted
#Preprintalert🚨 We describe a new class of genes, located in commonly amplified regions of the cancer genome, but toxic to cells when overexpressed. A great team effort with @_ms03, @colomemaria_epi, @BenDavidLab, @RameenBeroukhim, and @Foijer_lab! biorxiv.org/content/10.1101/…
Michael Schubert retweeted
Fantastic @Nature by Nir Hacohen &co! They created gene transcription maps at the single cell level for 17 different cell types in the lymph node in response to each of the 86 cytokines & develop a tool to infer from RNAseq data cytokine activity! nature.com/articles/s41586-0…
Michael Schubert retweeted
Accurate Transcription Factor (TF) activity estimation is key to interpret #transcriptomics data 🧬💡 In collaboration with @NTNU and @BSC_CNS, we present a high-confidence collection of signed regulons for >1000 TFs: academic.oup.com/nar/advance…, now peer-reviewed @NAR_open 🧵⬇️
Michael Schubert retweeted
1. Excited to share our new paper in @Nature! With over 1000 tumors analyzed by scRNA-seq, we provide a systematic pan-cancer characterization of transcriptional intra-tumor heterogeneity (ITH)
nature.com/articles/s41586-0…
Michael Schubert retweeted
If you take a look at some real challenging datasets like Chain-of-Thought Hub, you will see how large the gap between small models vs large ones
github.com/FranxYao/chain-of…
Again, pushing forward open source is awesome, but one should be honest to themselves.
The False Promise of Imitating Proprietary LLMs
Open-sourced LLMs are adept at mimicking ChatGPT’s style but not its factuality. There exists a substantial capabilities gap, which requires better base LM.
arxiv.org/abs/2305.15717
Michael Schubert retweeted
🚨 Delighted to share our back-to-back publications in @Nature (nature.com/articles/s41586-0…) and @NatureGenetics (nature.com/articles/s41588-0…)🚨. In these publications we unravel the pan-cancer immunogenomics differences between primary and metastatic tumors. Thread below🧵👇
