Exciting to see our paper, with @VShahrezaei and Philipp Thomas, now published in @CellSystemsCP! We use stochastic modelling and time-resolved scRNA-seq data to identify global patterns of transcription regulation: https://t.co/1t2PjVemQB
How are two embryos alike?
As we collect spatio-temporal microscopy data, we want to quantify variability in the timing of key developmental events.
Alignment of multiple videos is a core engineering challenge here and we have a solution; read about it: https://t.co/0KBCwWSp7a
Sci-Hub is an evil website that pirated 85M+ research papers and made them freely available
And now they've added AI to their database to make Sci-Bot.
It answers your questions using latest, full-text articles.
But DO NOT use it. We should all try to make billion-dollar academic publishers richer.
I'm putting the link below so you know how to avoid it.
Really happy to share our new paper on using AlphaEvolve for mathematical exploration at scale, written with Javier Gómez-Serrano, Terence Tao, and @GoogleDeepMind's Bogdan Georgiev. We tested it on 67 problems and documented all our successes and failures. 🧵
Using contrastive learning on noisy trajectories, this method builds coordinate-invariant maps that reveal dynamical regimes, pinpoint bifurcations, and reconstruct phase diagrams, no equations required. #MachineLearning#DynamicalSystems
🔗 https://t.co/JnOrKBH7R6
The big one is finally out!! In this paper, we set out to provide insight into the fundamental question;
How do the individual cells from complex tissues regulate their proteomes?
Brief summary of our findings 👇
https://t.co/4dRXpGJTGn
Damage to axons in white matter by early glioblastoma (GBM) cells drives progression & spread of this aggressive, incurable brain tumour
#GBM
📹 Melanie Clements, Wenhao Tang, Zan Florjanic Baronik, Holly Simpson Ragdale et al @uclcancer in @Nature
➡️ https://t.co/KjSuemUeFu
@fleetwood___@anshulkundaje@arcinstitute So how is the goal “to train a model that predicts the effect on a cell of silencing a gene” any relevant to the goal “to train a model that simulates the cell”?
One thing that really bothers me with the new "virtual cell" terminology is that is currently largely focused on a very narrow definition of models that can predict effects of trans perturbations (gene dosage, drugs etc) on gene expression. 1/
Two years ago, I've reoriented my research to try to make AI safe by design. In this @TIME op-ed, I present my team's direction called "Scientist AI"; a practical, effective and more secure alternative to the current uncontrolled agency-driven trajectory.
https://t.co/0sSxNbBGxf
Diffusion models generalize *really* well: if you give them a million pictures of cats, they'll learn to generate reasonable-looking cats no one's ever seen before. But the weird thing is that no one knows why they work! In a theory paper accepted to #ICLR2025, I dug into this.
EFL-3/E2F7 modulates Wnt signalling by repressing the Nemo-like kinase LIT-1 during asymmetric epidermal cell division in C. elegans
Read this @ReviewCommons transfer article by
@MarFerrandoMar1 & @barkoulab@imperialcollege:
https://t.co/elBdgsmbX7
With @jrpenades, we challenged AI co-scientist @GoogleAI to generate hypotheses. In just 2 days, it recapitulated our unpublished, experimentally confirmed mechanism for how cf-PICIs spread between bacterial species! 🤯 @imperialcollege@FlemingCentre
https://t.co/hXkZZco6vu
SynBio Turing patterns in E.coli. I've seen this amazing project progress over the last few years at Imperial and excited that it's now published. Well done to all involved! https://t.co/oBJzMmskaW
When did the deep learning crowd first start callling prediction (i.e., forward pass) "inference"? And what should we now call traditional inference (i.e., *inverting* a forwards process)? Should I just call it "posterior inference" (or "statistical inference" if frequentist).
🧵 A Thread on “Julia for Biologists” 🧵
1/ Introduction to Julia
A 2023 perspective in @naturemethods highlights #Julia as a powerful programming language for computational biosciences!
🔗 Full article: https://t.co/YIN4qXgvyT
I am pleased to share that our paper entitled "Translation regulation by RNA stem-loops can reduce gene expression noise" has been published in BMC Bioinformatics (@BioMedCentral).
Enjoy reading it freely at:
https://t.co/qNpeICgl91
I'm thrilled to share that my truly exciting PhD journey has come to an end. It's been a privilege to be supervised by @VShahrezaei and Philipp Thomas, who navigated me through the beautiful world of mathematical and computational biology. I've learned so much. 1/3
Congratulations to @DVolteras for successfully passing his PhD viva. It has been a pleasure to co-supervise this exciting PhD with Philipp Thomas. Thank you @lpachter and Mauricio Barahona for the examination. Looking forward to Lior's Mathematics Colloquium today @ImperialMaths.