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William Gilpin

@wgilpin.bsky.social
718 followers 438 following 55 posts

asst prof at UT Austin physics interested in chaos, fluids, & biophysics. www.wgilpin.com

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William Gilpin @wgilpin.bsky.social · 08/09/2026
Our group discovered that reasoning models produce fractals when asked to solve hard problems. We can use nonlinear dynamics to probe the thinking processes of recurrent depth models on Sudoku, mathematics, and even ARC-AGI (1/N) arxiv.org/abs/2609.04963
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Alexandra Weber @toedtoad.bsky.social · 31/08/2026
My first paper is officially out in @currentbiology.bsky.social ! We found that snake embryos coil due to a mismatch in growth rates between the gut and spine. This tight coil is one of the reasons why snakes are able to get so long. Read the paper here!
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Deepak Krishnamurthy @deepakkrish.bsky.social · 31/08/2026
Thrilled to share that I’ll be starting as an Assistant Professor in Mechanical Engineering at UC Berkeley in January 2027! @ucberkeleyofficial.bsky.social @berkeleyengineer.bsky.social I’ll be launching the Deep Lab for Microbial Biomechanics. 🧵 1/8
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JAX Genomic Education @jaxeducation.bsky.social · 31/08/2026
💡 Learn to design behavioral workflows, apply ML approaches to behavioral modeling, and connect behavior to neural and experimental manipulations. Register: www.jax.org/education-an... Organized by: @vivekdna.bsky.social @antihebbiann.bsky.social @gordonberman.bsky.social @goldenneuron.bsky.social
Flyer for the Application of Machine Learning for Automated Quantification of Behavior Short Course. See the event webpage for more information at www.jax.org/autobehavior.
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Ben Fulcher @bendfulcher.bsky.social · 04/08/2026
pyhctsa is out! A native Python port of the majority of the hctsa feature library (highly comparative time-series analysis). Thousands of interpretable time-series features available via a pip install. Built by Joshua Moore. Paper: doi.org/10.21105/jos... Code: github.com/DynamicsAndN...
feature vector snake around cartoon time series man logo for pyhctsa
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Mattia Serra @mattiaserra.bsky.social · 28/05/2025
📣 Preprint alert! We developed a framework to uncover Coherent Structures in flows on dynamic surfaces—revealing dynamic attractors, repellers and deformation directions in nematic vesicles, pancreatic spheroids, and beating zebrafish hearts. @sreejithsanthosh.bsky.social biorxiv.org/content/10.1...
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Aishik Ghosh @aishikghosh.bsky.social · 19/03/2026
The Machine Learning for Fundamental Physics School is back! This time bigger and in a new location: Georgia Institute of Technology (@gtsciences.bsky.social)! We can cover the domestic travel and accommodation of most students and ECRs participating. Apply soon! indico.global/event/17000/
indico.global
Machine Learning for Fundamental Physics School (ML4FP) 2026
The Machine Learning for Fundamental Physics School (ML4FP) 2026 will be held at the Georgia Institute of Technology from June 1 to June 5, 2026. The event is organized with support from Oak Ridge Nat...
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Suraj Shankar 🏳️‍🌈 @surajshankar.bsky.social · 27/02/2026
Delighted this paper is out! Soft solids fracture in complex ways. Can we control it using structure and activity? Yes, using defects that localize energy injection for targeted failure! Amazing work combining exp, theory & ML by Sheng Chen and collab with Murrell lab (Yale).
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William Gilpin @wgilpin.bsky.social · 26/02/2026
How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N) arxiv.org/abs/2602.18679
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Research Corporation for Science Advancement @rescorp.org · 12/02/2026
RCSA welcomes 24 early career teacher-scholars in chemistry, physics, and astronomy as recipients of its 2026 #CottrellScholar Awards. Each awardee receives $120,000. Congratulations to this exceptional class!
rescorp.org
2026 Cottrell Scholar Awards
Research Corporation for Science Advancement, America's first foundation dedicated wholly to science, has named 24 early career scholars in chemistry, physics, and astronomy as recipients of its 2026 ...
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Eddie Lee @spintheory.bsky.social · 27/12/2025
I’m very happy to announce that I will joining #Seoul National University’s #SNU #physics department as Assistant Professor in Fall of 2026!
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Prakash Lab @ Miami @vprakashlab.bsky.social · 23/12/2025
🚨 POSTDOC OPENING 🚨 NIH-funded Bio-Fluid Mechanics Postdoc in my lab @univmiami.bsky.social Hofstenia miamia | cilia-driven flows | behavior & neuroscience Collab w/ Mansi Srivastava @harvard.edu 🕒 Start: Jan–Feb 2026 ⏳ 1 yr, renewable | Email me ASAP! #Postdoc #Biophysics #FluidDynamics
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Eddie Lee @spintheory.bsky.social · 08/07/2025
I'm excited to say that one of the most exploratory and thought-provoking papers I've worked on in recent years was just accepted at Physical Review Research. Preprint here: arxiv.org/abs/2502.21072 #physics #innovation 🧪🦋 @apsphysics.bsky.social
arxiv.org
Innovation-exnovation dynamics on trees and trusses
Innovation and its complement exnovation describe the progression of realized possibilities from the past to the future, and the process depends on the structure of the underlying graph. For example, ...
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Texas Science @texasscience.bsky.social · 21/08/2025
Kudos to Edoardo Baldini, William Gilpin & Daehyeok Kim on earning Faculty Early Career Development Program (CAREER) Awards from the National Science Foundation! #NSF #CAREERAwards #EarlyCareerDevelopment #TexasScience @wgilpin.bsky.social @utphysics.bsky.social cns.utexas.edu/news/accolad...
cns.utexas.edu
Three College of Natural Sciences Faculty Win NSF CAREER Awards
3 UT faculty in computer science and physics won an NSF award recognizing their potential to serve as academic role models.
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William Gilpin @wgilpin.bsky.social · 16/06/2025
Does stability matter in biology? My article on the cover of this month’s @PLOSCompBiol explores how large ecosystems develop supertransients, a manifestation of computational hardness (1/N) doi.org/10.1371/jour...
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William Gilpin @wgilpin.bsky.social · 22/05/2025
We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8) arxiv.org/abs/2505.13755
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Justin Yeakel 🦣🐆 @jdyeakel.bsky.social · 18/02/2025
New preprint! Population sizes are unknowable for many species... but is low-res information still useful for exploring dynamics? We model species as either high or low in abundance—a useful way to explore how food web structure impacts extinction risk and trophic cascades: arxiv.org/abs/2502.11220
arxiv.org
Coarse-Graining Cascades Within Food Webs
Quantifying population dynamics is a fundamental challenge in ecology and evolutionary biology, particularly for species that are cryptic, microscopic, or extinct. Traditional approaches rely on conti...
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William Gilpin @wgilpin.bsky.social · 15/01/2025
In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying causes. In Physical Review X I present a physics-based algorithm for learning causal drivers from time series (1/n) go.aps.org/3PwXhxe
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Oskar Hallatschek @ohallats.bsky.social · 06/12/2024
After a long and winding odyssey, excited to finally drop anchor in open-access waters. This preprint shows how neutral allele frequency time series can illuminate disease transmission rates between communities— key for epidemic fore- & backcasting. medrxiv.org/content/10.1... 🧵
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Tzer Han Tan @tzerhan29.bsky.social · 20/11/2024
Interested in active matter/biophysics? Our lab tzerhan.com is looking for motivated PhD students to join our nonreciprocal robotics active matter/chiral jamming/morphogenesis projects. Apply by Dec 18: physics.ucsd.edu/students/gra...
tzerhan.com
HOME | Living Matter Lab
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Claire Wyart @clairewyart.bsky.social · 16/11/2024
Individuality is fascinating. We found how to quantify variability among individuals by identifying long-lasting motor strategies during navigation. Work of Dr. Gautam Sridhar and Dr. Antonio Costa in collab with João Marques @daniobrain.bsky.social out today in #PNAS ! www.pnas.org/doi/10.1073/...
When animals deploy motor strategies to navigate and adapt to changing environments and their own experiences, their behavior is highly variable across multiple timescales and from one animal to another. Using high-fidelity Markov models of behavior, we reveal the main modes along which zebrafish generate motor strategies in different environments. We uncover essential principles underlying navigation and reveal that an individual’s past experience, or its current inner state alters preferences for long-lasting motor strategies. This study sets the stage for general approaches to dissect the origin of variability of navigation among individuals.

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To reveal structure in individual variability, we build Markov models of action sequences that bridge across timescales and enable the comparison of behavioral phenotypes among individuals. Applied to zebrafish responding to diverse sensory cues, we uncover a hierarchy of long-lived motor strategies, dominated by changes in orientation distinguishing cruising versus wandering. While fish cruise in the light, they wander in response to aversive stimuli, or in search for appetitive prey. As our method encodes the behavioral dynamics of each individual fish in the transitions among coarse-grained motor strategies, we use it to uncover a hierarchical structure in the phenotypic variability that reflects exploration–exploitation trade-offs. The major source of variation among fish is driven by prior or immediate exposure to prey that induces exploitation phenotypes. A large degree of variability not explained by environmental cues unravels hidden states that override the sensory context to induce contrasting exploration–exploitation phenotypes. Altogether, by extracting the timescales of motor strategies deployed during navigation, our approach exposes structure among individuals and reveals internal states tuned by prior experience.
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Tom Astle @tjalamont.bsky.social · 15/11/2024
An amazing sight from my recent Brazil trip: bioluminescent termite mounds in Emas National Park. Tiny larvae of click beetles (Pyrearinus termitilluminans) glow steadily, hoping to attract flying insects (like winged termites & ants), which they then grab with their sharp mandibles. #insects 🐙🌿
A macro photo taken at night of a green-glowing, bioluminescent click beetle larva, partially outside its burrow in a red-dirt termite mound. The beetle larva has sharp, wide open mandibles, ready to snap shut on any insect that ventures too close, attracted by the light.A photo at night of a tall termite mound on a grassland. The cloudy sky is faintly blue in the background. The termite mound is dotted with a few dozen green pinpoints of light, all from tiny bioluminescent click beetle larvae living in the mound's surface, giving the termite mound the appearance of lumpy, red-dirt Christmas tree.
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William Gilpin @wgilpin.bsky.social · 15/02/2024
Is chaos an analogue sampling scheme? I wrote a Perspective for Nature Reviews Physics discussing connections between classical work on information flow in nonlinear systems, and modern generative ML models www.nature.com/articles/s42...
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Siavash Ahrar @siavasha.bsky.social · 03/01/2024
If you are attending SICB please stop by our poster. Haley and Bryant are looking forward to co-presenting our work. #SICB2024
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