Daniel MacArthur
@dgmacarthur
Genomics, big data, open science. Director, Centre for Population Genomics at @GarvanInstitute + @MCRI_for_kids. Opinions my own.
35 percent of men in medieval England were called John. More than half of men were named John or William. From data from the 1377-1381 poll tax.
That’s exactly what Ren Zhengfei is calling for--but the U.S. risks squandering it. Proposed federal budget cuts would gut NSF and NIH funding—the source of 40% of U.S. basic research.
To the 23andMe Community, I am incredibly excited and humbled to share with you that TTAM Research Institute (TTAM), a new non—profit medical research organization that I founded and lead, has completed the acquisition of 23andMe. I formed TTAM and pursued the acquisition of…
🧵4/ How does it compare to cardiologists? We ran a blinded reader study with 13 cardiologists reviewing 3200 ECGs w/ and w/o the AI score. Even with the AI score, cardiologists still underperformed compared to AI alone. I think this will improve as docs get used to new AI scores
LLMs made me realize that my whole life, I had been asking A LOT fewer questions than I wanted to be asking.
It's funny how people think they can just assert the linear model doesn't work without any argument or evidence like no one has ever thought of this before or looked into it.
I don’t know who needs to hear this, but GWAS is a totally inappropriate basis for embryo editing. It is fundamentally a linear model. Few things in the universe are as nonlinear as genotype-to-phenotype. Every allele must be causally validated via experiment.
It's becoming clear that assessing the effects of genetic variants on gene expression within individual cells (sc-eQTLs) instead of bulk tissue is way more efficient🧬 Now, a study in only 48 liver samples detects sc-eQTLs for >3,500 genes — 2/3 of them cell-specific👇
What does it take to fund a more abundant future? Our new Head of Strategic Investments, @elidourado, lays out a clear framework rooted in technoeconomics, sociopolitics, and entrepreneurship Read his perspective: asterainstitute.substack.com/p/how-we-get-t…
Happy to introduce AlphaGenome, @GoogleDeepMind's new AI model for genomics. AlphaGenome offers a comprehensive view of the human non-coding genome by predicting the impact of DNA variations. It will deepen our understanding of disease biology and open new avenues of research.
To my genetics/genomics friends in Australia: the @OurDNA_program Symposium will be in Sydney on 14 August, just before @HGSAAustralasia. Learn more about inclusive recruitment for genomics and get a preview of the OurDNA variant browser! events.humanitix.com/ourdna-symposi…
Exciting to be in this narrow window where we can experimentally observe AI agents threatening blackmail to avoid being switched off anthropic.com/research/agent…
Most advice on fundraising comes from VCs, and is written for software companies. We’ve published one that’s a little different. By @andreacoravos & Rachel Katz, who have successfully fundraised for and exited their own companies, here’s a guide for founders in healthcare and…
Started a substack with my favorite person to argue and solve problems with, @mbeisen. If you love science as much as we do and want to see it reach its potential, come follow along and join the conversation Our first post below 👇
It's like the scorpion and the frog meme but its just two scorpions
IMPRINT is #hiring a Chief Operations Officer to help shape our work at the intersection of immunology, machine learning, neuroscience, and disease. The COO will be responsible for guiding product strategy and development, building a community of users and partners, and ensuring…
Making ur data, code, resources more accessible & releasing it all early (eg. with preprints) has huge benefits in the long run. Ur science gets more exposure & has a greater chance of actually being used especially in fast moving fields. 1/5
Scientists: "The discoveries we make and advances we deliver are completely dependent on taxpayer support." Also scientists: "We won't make the results of taxpayer funded research available to the public unless you force us to."
Excited to be in Milan for #eshg2025! If you’re interested in leading analysis of large, diverse cohorts with WGS and cellular genomic data in Australia, I’d be keen to chat - we’re looking to fill a variety of senior comp bio roles: populationgenomics.org.au/careers/ #eshg25
✨E11 Bio is hiring a Chief of Staff / Project Manager! This unique role blends scientific project management with day-to-day operations—and gives you a front-row seat and bird’s-eye view as we advance the field of connectomics toward mammalian brains. jobs.lever.co/convergentrese…
China’s industrial upgrading cycle in a single chart: Stage 1: Reliance on foreign imports Stage 2: Shift to local production via JVs Stage 3: Chinese firms take over Then there’s stage 4: Chinese firms export