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...
William Gilpin
@wgilpin.bsky.social
asst prof at UT Austin physics interested in chaos, fluids, & biophysics. https://www.wgilpin.com/
📣 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...
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/
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...
indico.global
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).
Topological control of spontaneous failure in active nematic solids go.nature.com/4cfzC0Y
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
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!
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 ...
rescorp.org
🚨 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
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
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, ...
arxiv.org
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...
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.
cns.utexas.edu
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...
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
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
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...
arxiv.org
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
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... 🧵
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...
HOME | Living Matter Lab
tzerhan.com
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/...
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 🐙🌿
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...
If you are attending SICB please stop by our poster. Haley and Bryant are looking forward to co-presenting our work. #SICB2024