Steve Pressé
labpresse.bsky.social
Steve Pressé
@labpresse.bsky.social
Musings about science, biophysics, inference, and occasionally Bach and Shostakovich
Pinned
It’s been 30 yrs since Zwanzig’s “non-eq stat mech”

As written, it has solidified the notion that theory develops models, and MD (perhaps) should be left to parametrize.

Maybe it’s time to re-pitch the work using functional integrals & tie this formulation to likelihoods :)
When is it ok to invoke a small Reynolds number approximation in finite temperature fluids?

For spatially correlated fluids, curiously the answer is…never? 🧐

arxiv.org/html/2601.05...

#fluids #fluidphysics
Revisiting the scale dependence of the Reynolds number in correlated fluctuating fluids
arxiv.org
January 12, 2026 at 7:43 PM
It’s been 30 yrs since Zwanzig’s “non-eq stat mech”

As written, it has solidified the notion that theory develops models, and MD (perhaps) should be left to parametrize.

Maybe it’s time to re-pitch the work using functional integrals & tie this formulation to likelihoods :)
December 21, 2025 at 11:50 PM
Reposted by Steve Pressé
Really interesting research showing that while ultra-specialization in a single discipline might lead to better results early in one’s career, multi-discipline training and practice pays off big time in the long run. This applies to a range of professions from scientists to athletes and more
Recent discoveries on the acquisition of the highest levels of human performance
Scientists have long debated the origins of exceptional human achievements. This literature review summarizes recent evidence from multiple domains on the acquisition of world-class performance. We re...
www.science.org
December 20, 2025 at 6:51 PM
A bit of an emotional pic.

A Silbey lab reunion of sorts in Honolulu. L2R: ⁦‪@LabPresse‬⁩, Jaeyoung Sung, Yuen-Chung Cheng, YoonJoon Jung, Alex Tkachenko.

Haven’t seen some people in ~20 yrs 😢
December 20, 2025 at 4:27 AM
Happy to be @acs.org #pacifichem with L2R Banu Ozkan, Jaeyoung Sung, Matthias Heyden, and @labpresse.bsky.social for our joint @arizonastateuni.bsky.social Center for Biological Physics - Chung Ang GCSC symposium.

Especially happy about Mai Tai’s 🍹
December 16, 2025 at 8:31 PM
Our latest JChemPhys selected as highlight.

Our title communicates it all :)

“A cautious user’s guide in applying HMMs to physical systems”

pubs.aip.org/aip/jcp/arti...
A cautious user’s guide in applying HMMs to physical systems
Nature, as far as we know, evolves continuously through space and time. Yet, the ubiquitous hidden Markov model (HMM)—originally developed for discrete time and
pubs.aip.org
December 2, 2025 at 3:56 PM
ASU Physics is searching for a new Chair.

If interested, please apply. Feel free to contact me with any questions.

We are seeking, first and foremost, a leader & world-class scientist with a strong research record

apply.interfolio.com/176489

#asu #ASUResearch
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
November 5, 2025 at 3:33 AM
Lab Halloween fun before lab reception for Weiqing Xu’s departure to the lab of @jonasries.bsky.social

We will miss you Weiqing!
November 3, 2025 at 5:41 PM
Tracking has always been at the ❤️ of the scientific method, from planetary motion to single particles.

Weiqing’s thesis intro on tracking was so beautiful we turned it into a perspective in JCP who then selected it as a #Scilight.

Take a look! 😊

www.aip.org/scilights/tr...
Tracing fluorescence tracking’s past, present, and future
Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.
www.aip.org
October 30, 2025 at 11:19 PM
News story our APS fellowship.

A testament to the great people we work with (and the unwavering rigor of Bayesian approaches, impervious to hype) 😊 🙏

news.asu.edu/b/20251021-a...
ASU chemistry and physics professor elected to prestigious fellowship | ASU News
Steve Pressé, professor in Arizona State University’s School of Molecular Sciences and Department of Physics, has been elected as a 2025 American Physical Society Fellow for his leadership and excepti...
news.asu.edu
October 23, 2025 at 5:16 AM
It’s an Honor to be named 2025 @apsphysics.bsky.social Fellow.

🙏 our lab members and collaborators.

Citation: “For pioneering contributions to Bayesian method development in biological physics, particularly […] to imaging and single-molecule experiments. 

#APSFellow
October 12, 2025 at 6:40 PM
The journey continues. UT Austin and Oden tomorrow and Friday. Here with Dima Makarov :)
(Discussing Bach, Richter, Gould, Yuja Wang, and maybe some single molecule 😊)
September 11, 2025 at 1:05 AM
Thanks to the CTBP for the wonderful invitation for a seminar at Rice! 🙏
Joining me are Tolya Kolomeisky and Oleg Igoshin.
September 10, 2025 at 2:44 AM
Reposted by Steve Pressé
Hello everyone,

Tomorrow I’ll be giving a chalk talk on our new eLife:
“REPOP: bacterial population quantification from plate counts”

elifesciences.org/reviewed-pre...

Looking forward to seeing you!!

#eLife #datascience #biophysics #bioinformatics #Bayesian #REPOP
September 8, 2025 at 8:01 PM
Can we learn motion models from post-processed tracks? 🧐
Not really 😢

Emission noise accounts for ~99% of the likelihood.

TLDR: What you think is anomalous diffusion… might just be noise. 🤷‍♂️🤷‍♂️🤷‍♂️🤷‍♂️

🔗 Read more in our latest preprint: arxiv.org/abs/2507.05599

#Biophysics
How Easy Is It to Learn Motion Models from Widefield Fluorescence Single Particle Tracks?
Motion models (i.e., transition probability densities) are often deduced from fluorescence widefield tracking experiments by analyzing single-particle trajectories post-processed from data. This analy...
arxiv.org
August 12, 2025 at 8:52 PM
Hello all,

If you do #PlateCounting, you may want to take a look at our new eLife @elife.bsky.social

If you don't, I still encourage you to join for an interesting discussion.

Follow the thread 🧵

elifesciences.org/reviewed-pre...

#Microbiology #DataScience #PyTorch #QuantitativeBiology #REPOP
REPOP: bacterial population quantification from plate counts
elifesciences.org
August 6, 2025 at 10:30 PM
Have you ever applied a Hidden Markov Model (HMM)?
Does the results seems contradictory?

If so, you are going to love our new preprint:

arxiv.org/abs/2506.05707
A cautious user's guide in applying HMMs to physical systems
Nature, as far as we know, evolves continuously through space and time. Yet the ubiquitous hidden Markov model (HMM)--originally developed for discrete time and space analysis in natural language proc...
arxiv.org
August 5, 2025 at 5:39 PM
Reposted by Steve Pressé
So… I was googling myself and made quite a discovery

🎧 There's an AI-generated podcast of my #TimeSeriesForecasting paper 🤔🤔
www.youtube.com/watch?v=3BNz...

Not sure whether to feel flattered, creeped out, or alarmed.

That is the future I guess 🤷‍♂️🤷‍♂️

To read the full paper: doi.org/10.1088/2632...
Mamba time series forecasting with uncertainty quantification
YouTube video by Xiaol.x
www.youtube.com
August 5, 2025 at 2:56 AM
The Pressé Lab is happy to join the #biophysics #imaging & #singlemolecule scientific communities here.

Hopefully high SNR messaging from this account about low SNR data :)

#science #machinelearning #datamodeling
August 4, 2025 at 10:56 PM