PhD Biomedical Engineering @Purdue | Fixing science @ResearchHub
Lake Tahoe
Joined November 2021
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Things in an official White House science report we didn't expect to read:
- 48-hour grant decisions
- funding people, not projects
- incentives for negative results
- rethinking consensus-driven peer review
We pulled some highlights 👇
Tyler Diorio retweeted
OpenAI posted this on Tuesday. By Wednesday there was a $44,220 protocol on ResearchHub to test it in human iPSC neurons, reviewed and open to fund. The lead took 32 minutes. Testing it is still the slow part, and that's the part we're working on.
ALT Timeline: OpenAI's GPT-Rosalind DCTN1-cholesterol lead posted Oct 21; RFP and 10 candidate designs live on ResearchHub the same day; design #1 ($44,220, iPSC neurons, CRISPRi) reviewed and open for funding by Oct 22. Bar comparison: 2 days on ResearchHub vs about 270 days for an NIH R01 from submission to award.
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
Tyler Diorio retweeted
12 funders put $5,000 into this proposal. Since July the researcher has posted four progress updates, and in one of them he told his funders several of the v1 headline results were processing artefacts. This week he opened up the atlas.
researchhub.com/proposal/194…
ALT ResearchHub proposal page for the ECM Aging Atlas, fully funded at $5,000 by 12 funders, showing the Updates tab and the latest update with a consensus table of matrisome genes.
Tyler Diorio retweeted
Updates on the ECM Aging Atlas, crowdfunded by @ResearchHub!
12 funders put $5,000 into this proposal. Since July the researcher has posted four progress updates, and in one of them he told his funders several of the v1 headline results were processing artefacts. This week he opened up the atlas.
researchhub.com/proposal/194…
ALT ResearchHub proposal page for the ECM Aging Atlas, fully funded at $5,000 by 12 funders, showing the Updates tab and the latest update with a consensus table of matrisome genes.
Tyler Diorio retweeted
Announcing Ikigai Grants:
Microgrants give early-stage, bootstrapped talent capital. But that’s not enough.
I’ve watched too many grantees become perpetual microgrant chasers, wasting time applying to one $5k grant after another. Worse, most programs encourage this by funding the blanket “smart people doing cool things,” with no real conviction behind it.
I wouldn’t be here without patronage from @tylercowen & @jposhaughnessy. But looking back, the mentors & community were worth much more than the money.
So I built the program I always wished existed:
- $50k total, avg. $5k check
- Matched with mentors & community across @RenPhilanthropy , Fulcrum Science, and my personal network of founders, fund leads, investors & scientists.
Cohort 1 backs emerging talent in areas I believe are deeply underfunded and undervalued. Every application is reviewed by me.
Ikigai Grants is a program of @RenPhilanthropy, with support from Fulcrum Science. Advised by many wonderful friends & colleagues including: @AshleyNAbel @RaianyRomanni @NeuroStats Bonnie EJ Maven @idatin @ashleyz413 @JackScannell13
Apply by Nov 9th, 9a PST:
alexaraki.xyz/ikigai
Tyler Diorio retweeted
We released Apache Camel 4.22.2 (LTS) today. This is a new patch release with 86 bug fixes and improvements: camel.apache.org/blog/2026/1… #ApacheCamel
Tyler Diorio retweeted
We used GPT Sol 6.1 to draft 10 preregistered proposals to test this hypothesis in the wet lab.
1. Funders: pool funds on the RFP
2. Scientists: upvote, comment, or review to strengthen the experimental design
3. Wet labs: comment if you want to run one
researchhub.com/rfp/33104/te…
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
Tyler Diorio retweeted
If you’re working on hair loss research, we’d love your input on our latest funding call at @ResearchHub!
Join the discussion, share your ideas, and help shape what gets funded.
researchhub.com/grant/33066/…
Tyler Diorio retweeted
We’ve just made public 125,091 DICOM radiology images from across my cancer journey (link below). The data is both longitudinal and multi-modal, dated and linked to my treatment timeline, so you can compare imaging across initial diagnosis, standard of care, first remission, “founder mode cancer care”, and second remission. It’s viewable in OHIF, the standard open-source viewer used in radiology research.
Given the long history of applying deep learning to radiology, we’re hoping to see a variety of methods and models applied to my data. If you find something interesting, please reach out to [email protected], or if you know a researcher who should see this, tag them below.
Thanks to Terra LaFerriere for organizing these images, and Kamil Slowikowski for building osteosarc.com into the resource it is.
Tyler Diorio retweeted
Our fifth annual SciCon is coming to San Francisco on December 10.
An invite-only gathering of funders, researchers, and AI in science leaders for a day on how research gets funded, evaluated, and replicated.
Invitations are going out now. Keynote announcement coming soon.
Tyler Diorio retweeted
Nice overview of the latest @ResearchHubF RFP funding $25k of AI generated hair loss research preregistered proposals
researchhub.com/grant/33066/…
Tyler Diorio retweeted
Deposit your base:0xfbb75a59193a3525a8825bebe7d4b56899e2f7e1 on ResearchHub, earn ~31% annualized yield in Funding Credits, and use them to fund research proposals.
Join 584 holders already earning: researchhub.com/endowment
Tyler Diorio retweeted
Exciting to hear progressive funding and metascience entering the zeitgeist. @patrickc on why science needs new models:
• ~78% of fast grant recipients would change their research agenda a lot (most to make it more ambitious) if they could just spend existing grant money freely. A commentary on incrementalism vs bold innovations.
• NIH funding has inverted where <40 year olds now get only ~22% of what >50 year old researchers receive (was 1.7× more in 1980). Fund younger PIs! Most Nobel Prize winners did their work in their 30s and 40s.
• Arc’s origin: a 2.5-year estimated NIH grant cycle + CRISPR work largely passed over by NIH. Highlighting a case for faster, more flexible, curiosity-driven institutions.
My full fireside conversation with @patrickc at the Science: A New Golden Age Summit.
We discussed building new institutions for discovery, accelerating scientific progress, and how America can move faster on the hardest scientific challenges.
Tyler Diorio retweeted
VASCO transient datasets are now publicly available on the Project Lost Light websites.
Project Lost Light invites professional scientists, citizen scientists, and students from around the world to participate in a challenge to replicate -- or challenge -- pre-Sputnik transient studies using historical (pre-Sputnik) photographic plate collections from around the world.
First prize: $75,000
Second prize: $50,000
Third prize: $25,000
The competition accepts data from all pre-Sputnik photographic plate collections, except those from Palomar Observatory.
Learn how to detect transients, search for transient hotspots, investigate possible correlations with documented nuclear tests, and see where your own methods take you! Are we alone on Earth, or are we witnessing the presence of another civilization?
Stop waiting for governments, UAP committees, or presidents to give you the answer -- go out and find it yourself.
The competition is open to individuals and teams who have not previously published research on pre-Sputnik transients.
The competition is hosted and independently organized by Research Hub:
researchhub.com/grant/32931/…
Read more on:
lostlightproject.netlify.app…
@TylerDiorio @ResearchHub @BrianDoher37387 @BrianMuraresku
Tyler Diorio retweeted
The @ResearchHubF used our new AI assistant to:
→ Draft an RFP focused on hair loss research
→ Generate proposals in response to the RFP
Now, they're inviting the community to review, comment on, and refine the proposals.
researchhub.com/grant/33066/…
Tyler Diorio retweeted
One of the most exciting RFPs on @ResearchHub to date!
$150K to figure out what was actually in the sky in 1950. High quality truth seekingnegative results win the same prizes as positive ones.
Props to @DrBeaVillarroel and @TylerDiorio on this one 💫🔭
Project Lost Light invites professional scientists, citizen scientists, and students from around the world to participate in a challenge to replicate -- or challenge -- pre-Sputnik transient studies using historical (pre-Sputnik) photographic plate collections from around the world.
First prize: $75,000
Second prize: $50,000
Third prize: $25,000
The competition accepts data from all pre-Sputnik photographic plate collections, except those from Palomar Observatory.
Learn how to detect transients, search for transient hotspots, investigate possible correlations with documented nuclear tests, and see where your own methods take you! Are we alone on Earth, or are we witnessing the presence of another civilization?
Stop waiting for governments, UAP committees, or presidents to give you the answer -- go out and find it yourself.
The competition is open to individuals and teams who have not previously published research on pre-Sputnik transients.
The competition is hosted and independently organized by Research Hub:
researchhub.com/grant/32931/…
Read more on:
lostlightproject.netlify.app…
@TylerDiorio @ResearchHub @BrianDoher37387 @BrianMuraresku
Tyler Diorio retweeted
Super cool idea to give out prizes for making private data public and analyzing it
On April 12, 1950, a Palomar telescope photographed 9 points of light that weren't there 30 mins earlier - before satellites were in orbit.
Today we launch Project Lost Light: $150,000 for independent tests of these flashes in other plate archives.
researchhub.com/grant/32931/…
ALT Project Lost Light on ResearchHub, hosting $150k for preregistered studies evaluating transients in non-Palomar glass archival plates from the pre-Sputnik era.
Really excited this is out.
Huge thanks to our advisory committee - Beatriz Villarroel (@DrBeaVillarroel), Stephen Bruehl, Alina Streblyanska, Brian Doherty, Ivo Busko, and others.
If you run a plate archive, or just love a good open question, take a look.
On April 12, 1950, a Palomar telescope photographed 9 points of light that weren't there 30 mins earlier - before satellites were in orbit.
Today we launch Project Lost Light: $150,000 for independent tests of these flashes in other plate archives.
researchhub.com/grant/32931/…
ALT Project Lost Light on ResearchHub, hosting $150k for preregistered studies evaluating transients in non-Palomar glass archival plates from the pre-Sputnik era.
Tyler Diorio retweeted
Double trouble -- our peer-reviewed machine learning/transient paper has also just been published. This is where we clean up the sample and see that the fewer contaminants there are, the stronger the correlation with nukes and the larger the shadow deficit. It also shows that the correlations with nukes is strongest 24 hours before a nuclear test.
Link: nature.com/articles/s41598-0…
Tyler Diorio retweeted
Which of these viral topics would you most like to see @ResearchHub fund next?
These topics all got a lot of media attention recently, but much of the science behind them is still unknown!
More background on each one in the thread below 👇
35%Microplastics in brains
15%Cat parasite & behavior
24%Young blood & aging
26%Spaceflight & the body
34 votes • Final results