Data mining on a scale you can't begin to fathom at Unknowm. Lover of 🥐☕️🐶 #useR #Rstats #maths #T1D @UofUmedicine
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Joined April 2016
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Ben Hardisty, PhD retweeted
Fermi to Dirac, 100 years ago today: You didn't cite my paper. ;P
(h/t Physics Archives: facebook.com/photo?fbid=1073…)
Ben Hardisty, PhD retweeted
"Reservoir as a Dynamical System: A Tutorial Review" (by Sarika Jalan, Ling Feng, Dishant Sisodia, Kohei Nakajima): arxiv.org/abs/2610.32421
Ben Hardisty, PhD retweeted
(1/3)BREAKING: A rockslide near Bridal Veil Falls has closed Provo Canyon trail this afternoon! Last night’s heavy rain in Utah County likely contributed to this slide today. To our knowledge right now no one was hurt, but it was a close call for those in the area.
Ben Hardisty, PhD retweeted
🚨 RETRACTED: Anticancer Research has officially pulled Nicolas Hulscher & Dr Peter McCullough's ivermectin cancer paper.
Its viral "84.4% benefit" claim was built on rigged survey math, massive dropouts & chemotherapy overlap.
Full breakdown 👇
techarp.com/fact-check/hulsc…
Ben Hardisty, PhD retweeted
Thanks to Daniel Litt from
@UofT for being a part of this year's #BottLectureSeries! He spoke about "The arithmetic of differential equations" and "Non-abelian motives" to an eager audience of mathematicians at Harvard's Science Center/Zimmer Hall.
#harvardmath
ALT A photo of a man smiling at the camera while standing in front of a blackboard with partially visible text written in chalk reading "arithmetic of differential joint with Josh L".
ALT A man giving a math lecture and gesturing at a blackboard partially covered with formulas written in chalk.
ALT A man giving a math lecture to an audience while gesturing at a blackboard partially covered with formulas written in chalk.
Ben Hardisty, PhD retweeted
There is a major result on the KPZ equation in 2+1 dimensions!
This looks like a great example of what the near future of math research could look like.
Here you have an 11-author paper--basically all top experts who had been working in this direction in recent years--combining all their recent results and insights and prompting Astra like maniacs. The result: a major problem in critical SPDEs that everyone in the field was wondering about is now solved!
Fantastic!
Human + AI interaction ==> more understanding
Ben Hardisty, PhD retweeted
This is a very thoughtful essay from an anonymous PhD student in math, and I hope everyone, but particularly established professors, read it. I have written a reply that should also appear in P\&P soon.
proofsandprompts.com/2026/10…
Ben Hardisty, PhD retweeted
SIAM book: "Modeling Nonlinear Dynamics from Equations and Data — with Applications to Solids, Fluids, and Controls" (by George Haller): epubs.siam.org/doi/book/10.1…
Ben Hardisty, PhD retweeted
Gamma conjectures for Milnor hypersurfaces
arXiv:2610.31150
Positivity of supercritical LYZ pairs
arXiv:2610.31233
Three-dimensional noncommutative Fano minifolds
arXiv:2610.31250
Ben Hardisty, PhD retweeted
Lecture notes: "Quantum field theory and four-manifolds: Perspectives from physics and geometry" (by Niklas Garner, Martijn Kool, Jan Manschot, Yuuji Tanaka): arxiv.org/abs/2610.30288
Ben Hardisty, PhD retweeted
Well, well, well…
For the record, the whole “Covid will evolve to become milder & more benign over time” thing was always a lie.
This raises a lot of concerning questions. I would like to once again point out we have no idea what we are doing.
This is a very interesting study from Fred Hutchinson Cancer Center. It suggests that SARS-CoV-2 may be evolving in a way that makes it increasingly difficult for the human immune system to recognize the virus in the first place—not simply harder for existing antibodies to neutralize it.
So now one has to wonder whether if fewer naïve human B cells can recognize an evolved virus, will the vaccines even work? Will they have a difficult time recruiting genuinely new B-cell specificities?
Doesn't this seem like an issue worth considering @FDADrugs @FDA @CDC @NIHDirector_Jay?
Link to paper: biorxiv.org/content/10.64898…
Ben Hardisty, PhD retweeted
Decades before Covid, my mom would avoid sick people like the plague. She'd say, "They've already got it, they don't care if they give it to you!" I used to think she had a terrible view of people. Turns out she had it right; it's the people who are terrible, not her view.
Preprint #3
researchgate.net/publication…
Ben Hardisty, PhD retweeted
Lecture notes: "Large Deviations in Stochastic Dynamics: A Hamiltonian Perspective" (by Lorenzo Cirigliano, William D. Piñeros, Anna Poggialini, Grant M. Rotskoff, Eric Vanden-Eijnden): arxiv.org/abs/2610.27179
Ben Hardisty, PhD retweeted
If your Author Accepted Manuscript was supported by @NIH funding, it must be posted publicly to PMC without an embargo. There's no cost and it does not require buying expensive open access plans. Take steps to upload your Author Accepted Manuscript here: nihms.nih.gov/login/?next=/s…
.@JAMAInternalMed recently published a thoughtful piece on public access calling for NIH to assert its position regarding compliance with the NIH Public Access Policy.
NIH has the right to make the Author Accepted Manuscript, which has been supported by taxpayers, public in PubMed Central at time of publication; a right which is independent from any publisher agreement.
This is a free path to compliance for authors, helping us ensure rapid public access to NIH-supported research results.
Ben Hardisty, PhD retweeted
Some excellent, practical and timely advice from Etingof on AI use in research mathematics, especially by students:
math.mit.edu/~etingof/aiuse.…
Ben Hardisty, PhD retweeted
A Fields Medalist says AI can now understand mathematical proofs even when his notes are almost unreadable to other mathematicians.
John Pardon explains that until recently, AI was little more than a spelling checker for his mathematical writing.
Now, he says, it can examine highly compressed, incomplete research notes and identify subtle mathematical mistakes.
For example, a missing condition such as finite or sifted in a statement about colimits can change its meaning. According to Pardon, AI can recognize such omissions by interpreting the broader mathematical context.
His assessment is:
“The AI understands. 100%.”
Pardon also reports that AI has proved several nontrivial lemmas for him. However, he says it has not yet produced a major breakthrough in his own research.
Pardon believes AI is changing mathematical research, but he also emphasizes that students must work through easier problems themselves to develop the understanding needed for harder ones.
He finds value in deliberately approaching unfamiliar problems, even when AI could immediately explain the answers.
Full Interview: futureclass.substack.com/p/j…
Ben Hardisty, PhD retweeted
A bunch of good journals in probability closed all their submissions until next months. They need time to update their policies; they've been under pressure for months but now it's gone totally out of control...
The journals are: Bernoulli, Electronic journal of Probability, Electrony Communications in Probability, Stochastic Processes and Applications, Annales de l'IHP B, ESAIM proba/stats.