In two weeks, the 2025 Nobel Prizes will be announced. Based on looking at other pre-Nobel “predictor” prizes, I think that these 36 scientists are the most likely candidates:
Can we understand biology from "infinite" amounts of perturbation data ?
- Only if we measure the relevant molecules.
Perturbations and data scale 𝐜𝐚𝐧𝐧𝐨𝐭 compensate for missing the relevant molecules.
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How do you use a virtual cell to do something actually useful? (2/3)
In this second case study, we explore how our research at @NOETIK_ai suggests better inclusion criteria for a real-world, 2024 cancer clinical trial. Link below!
As we mentioned in our last essay, the…
Rubisco is (arguably) the most abundant protein on Earth. (LPP surely comes close, right?) It’s an enzyme that fixes CO₂ into sugars during photosynthesis.
Unfortunately, as most people learn in school, Rubisco is inefficient. Sometimes it confuses O₂ for CO₂ and wastes…
Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in @Nature, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7, link below)
High costs motivate efforts to predict spatial transcriptomics from H&E images w/ deep learning. In our recent preprint, we show that noise, sparsity & resolution in ST data impact performance, highlighting the importance of training data quality: biorxiv.org/content/10.110…
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People who are good at programming will use AI to take the jobs of those who are mediocre at it. So you should study CS iff you're going to be good at it.
Extract of gpt-5-thinking system prompt
As always, there may be errors, but I have gotten the same thing twice with different prompting
This is a different prompt than that used for gpt-5-main and more difficult to extract (you need thinking on)
1. Intro and sycophancy
In 1994, I went for my first sabbatical, at Max Planck Institute for Metals Research, in Stuttgart, Germany. My host, Manfred Rühle, let me alone. In the Institute Library, I discovered Gibbs’s paper on phases in a pure substance.
What a revelation!
docs.google.com/document/d/1iE…
Increasing evidence that innate immune pattern recognition receptors do not sense productive infections.
DeRisi lab finds that RSV does not induce IFNs in productively infected cells. Only bystander/non-productively infected cells produce IFNs.
journals.asm.org/doi/10.1128/mb…
When it comes to deep learning for protein engineering, there is strength in simplicity.
In a Preview piece @CellCellPress, we highlight work from @CaixiaGaoLab on using fixed-backbone sequence design to engineer genome editors with improved function.
📄 authors.elsevier.com/a/1leKGL7PXuFlF
I'm now in my 10th year of teaching genetics to 1st year @harvardmed students in the classroom. Each year, I learn as much from them as they (hopefully) learn from me. Some things I've learned / appreciated:
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I'm (slowly) writing the book I've been thinking about for the last 3+ years.
Nothing official yet, but I'm hoping to write a deeply mechanistic and interactive, Bartosz Ciechanowski-style book about how a single E. coli cell works.
It will cover DNA, transcription, signaling,…
Two recent papers used deep learning to either create, or discover, new antibiotics.
I'll first look at the paper that made new antibiotics from scratch (and then maybe write another post about the discovery paper.) The crazy thing about this paper, in particular, is that they…
I built an iphone app: CTCAE 6 GO: a fast, clean reference for CTCAE v6/v5 toxicity grading based on recent NCI updates
App is free; PRO= unlimited sharing, case saving, full search.
3 mo PRO free code in comments. Trainees, DM me for free PRO
Grateful for feedback 🙏
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520 Followers 848 FollowingPost-doctoral Fellow, Laboratory of Systems Pharmacology (Santagata/Sorger Lab), Harvard Medical School | Previously Peter MacCallum Cancer Centre 🇦🇺
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71K Followers 107 Following47 yrs before the mast. Invented FierceBiotech, founded Endpoints News w/ 243,000 subs. Devoting time to the big showdown with Merkel cell carcinoma . We'll see
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