Francisco De La Vega
@ribozyme.bsky.social
430 followers 510 following 220 posts
Geneticist & Computational Biologist. CTO at life sciences company. Adjunct Professor at Stanford DBDS. All opinions are my own.
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Reposted by Francisco De La Vega
wiringthebrain.bsky.social
Henry’s thesis is on: “Developing a Naturalistic Metaphysics for Biological Agency”. His goal (our goal in working together) was to show that there’s nothing unscientific or supernatural about ideas of agency, mental causation, and free will. ⬇️ (1/n)
wiringthebrain.bsky.social
Huge congratulations to Dr. Henry Potter!!! 😊👏🎉🍾
Reposted by Francisco De La Vega
smcgrath.phd
🧪 The U.S. FDA's recent statement on acetaminophen and autism risk in pregnancy misrepresents the scientific consensus. Global health organizations affirm no conclusive link exists, underscoring the public health danger of selectively presenting data.
Weaponizing uncertainty in science and in public health puts people in harm’s way
Those who cite scientific studies to support policies should take care to tell the whole story, especially when it’s complex.
www.nature.com
Reposted by Francisco De La Vega
wiringthebrain.bsky.social
To be clear, there's overwhelming evidence that autism is primarily a genetic condition, and NO evidence for any of the bullshit this fool is spouting...
Reposted by Francisco De La Vega
ryanmarino.bsky.social
“Because of its safety profile & absence of teratogenic effects, acetaminophen is considered the medication of choice for fever & pain relief during pregnancy…we cannot ascribe any causal relationship between acetaminophen & autism, which remains the preferred drug for fever and pain in pregnancy.”
acmtmedtox.bsky.social
Position Statement: ACMT Supports the Safe Use of #Acetaminophen in Pregnancy.

Read our full statement here➡️ bit.ly/3VxbKw8
ACMT Position Statement: ACMT affirms the safety of acetaminophen in pregnancy and calls for an evidence-based approach to the search for causes and treatment of autism.
Reposted by Francisco De La Vega
Reposted by Francisco De La Vega
ribozyme.bsky.social
This is a major disaster for the tech industry that relies on these visas to bring top talent form abroad- this could sink our growing AI industry. For that reason I can foresee that either it will not stand or exceptions will be made to large parts of tech industry.
Reposted by Francisco De La Vega
New blog post – A quick look at Roche's SBX
lh3.github.io/2025/09/11/a...
ribozyme.bsky.social
Indeed - and that drives me nuts being a geneticist
ribozyme.bsky.social
Do you mean the Variant Allele Fraction? (the Fraction of reads carrying the mutation allele). When I hear variant allele frequency I always think about the frequency of an allele in a population/cohort.
Reposted by Francisco De La Vega
sarahjeong.bsky.social
Hankyoreh now has an official English translation of this editorial: english.hani.co.kr/arti/english...
Reposted by Francisco De La Vega
Reposted by Francisco De La Vega
carlzimmer.com
A deep dive into the destruction of US cancer research by @jonathanmahler.bsky.social “It’s an absolutely unmitigated disaster,” a former top official at NIH told him. “It will take decades to recover from this, if we ever do.” Gift link: nyti.ms/48iH3Cr
nyti.ms
Reposted by Francisco De La Vega
gregggonsalves.bsky.social
Though it’s traumatic for me to bring this up, I was targeted by a group allied with Turning Point USA in 2018, with the help of Tucker Carlson on Fox. My home address circulated online and I got death threats. 1/
Reposted by Francisco De La Vega
Reposted by Francisco De La Vega
yun-s-song.bsky.social
SINGER, our ARG inference method, is finally published and freely available online:

doi.org/10.1038/s415...

It was a long journey – 16 months from initial submission to acceptance. Is it just me, or has peer review gotten more arduous lately? 4+ rounds of review isn't so unusual these days...
Robust and accurate Bayesian inference of genome-wide genealogies for hundreds of genomes - Nature Genetics
SINGER is a method for creating ancestral recombination graphs to understand the genealogical history of genomes. The method has increased speed, and thus scalability, without sacrificing accuracy.
doi.org