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Steve Pressé

@labpresse.bsky.social
174 followers 88 following 42 posts

Musings about science, biophysics, inference, and occasionally Bach and Shostakovich

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Steve Pressé @labpresse.bsky.social · 21/07/2026
The new 50% US tariffs imposed by the Trump administration affect ~ $20B imported from 🇨🇦, which translates to ~ 5.2% of U.S. goods imported from 🇨🇦 Straight out the academic handbook: not picking one’s battles and ruining one’s reputation over a 2.6% net change.
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Steve Pressé @labpresse.bsky.social · 21/07/2026
Good morning from Arizona (Echinopsis candicans)
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Steve Pressé @labpresse.bsky.social · 14/07/2026
Our recent PNAS and Nature Communications papers were recently featured in ASU News. Check it out!! news.asu.edu/20260701-sci... A testament to our great team. #ASU #PNAS #NatureCommunications #Biophysics #Bayesian
news.asu.edu
ASU scientists unveil new methods to extract reliable truth from imperfect data | ASU News
Scientists at Arizona State University are advancing how they interpret complex, imperfect data — challenging long-standing assumptions in fields ranging from imaging to cellular biology. In two paper...
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Steve Pressé @labpresse.bsky.social · 07/06/2026
Hiring soon at all levels.
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Steve Pressé @labpresse.bsky.social · 07/06/2026
Today, we are expanding that foundation by combining quantitative science and AI to address some of the most important challenges in human health. I am excited to work with colleagues across ASU and our clinical partners to build this next chapter of interdisciplinary biomedical research.
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Steve Pressé @labpresse.bsky.social · 07/06/2026
integrative models of health and disease across multiple biological scales. Our roots are in Single Molecule Biophysics, a field that has transformed our understanding of biological systems through molecular-level precision.
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Steve Pressé @labpresse.bsky.social · 07/06/2026
data-driven approaches that support earlier diagnosis, more precise therapies, and better patient outcomes. To achieve this, we are bringing together faculty from medicine, biology, chemistry, physics, statistics, computer science, and engineering to build
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Steve Pressé @labpresse.bsky.social · 07/06/2026
Our Center will work closely with the ASU John Shufeldt School of Medicine and Medical Engineering to accelerate translational research and bridge fundamental discovery with clinical application. Our goal is to develop physics-inspired,
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Steve Pressé @labpresse.bsky.social · 07/06/2026
improving the interpretation of retinal and tomographic imaging, or modeling how proteins dynamically change shape and respond to therapies, the future of medicine will depend on the convergence of data, physics, biology, and computation.
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Steve Pressé @labpresse.bsky.social · 07/06/2026
from single molecules to cells, tissues, and disease. We believe that AI achieves its greatest clinical impact when combined with rigorous scientific understanding. Whether detecting early hallmarks of neurodegenerative disease from subtle patterns in microscopy data,
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Steve Pressé @labpresse.bsky.social · 07/06/2026
#SingleMoleculeBiophysics #ComputationalBiology #BayesianInference #ArizonaStateUniversity #BiodesignInstitute Our vision is to advance personalized medicine by integrating artificial intelligence, quantitative modeling, and biomedical expertise across scales—
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Steve Pressé @labpresse.bsky.social · 07/06/2026
🚀 Major Announcement I am honored to announce my new role as Director of the Center for Single Molecule Biophysics in ASU Biodesign Institute. biodesign.asu.edu/single-molec... #ArtificialIntelligence #BiomedicalResearch #Biophysics #PrecisionMedicine
biodesign.asu.edu
Center for Single Molecule Biophysics | ASU Biodesign Institute
The Biodesign Center for Single Molecule Biophysics allows researchers to study the physical processes on which life is based using cells and tissue.
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Steve Pressé @labpresse.bsky.social · 20/05/2026
(E. Coli) bacteria in the environment rather than acting within the host!
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Steve Pressé @labpresse.bsky.social · 20/05/2026
New preprint “𝗦𝘁𝗼𝗰𝗵𝗮𝘀𝘁𝗶𝗰 𝗰𝗼𝗹𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝗼𝘀𝘁-𝘁𝗼-𝗵𝗼𝘀𝘁 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝘀𝗵𝗮𝗽𝗲 𝗴𝘂𝘁 𝗯𝗮𝗰𝘁𝗲𝗿𝗶𝗮𝗹 𝘃𝗮𝗿𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆.” www.biorxiv.org/content/10.6... Using C. elegans as host, we find that bacterial predators (bdellovibrio) act through suppression of host to host transmission of gut-expelled prey
biorxiv.org
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AIP Publishing @aip-publishing.bsky.social · 28/01/2026
From widefield to confocal tracking and from single-spot to photon-array detectors, we chart the move beyond localization–linking toward integrative methods for crowded, superresolved tracking. @labpresse.bsky.social Learn more 👇 aippub.org/4qmTTFS
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Steve Pressé @labpresse.bsky.social · 03/02/2026
Specifically, MERFISH data where raw (or minimally processed / registered) images are available across rounds/bits, and where z-planes are sampled densely enough to justify explicit 3D modeling (ideally dz ≤ 0.5 µm; even ~0.75 µm would be workable depending on optics).
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Steve Pressé @labpresse.bsky.social · 03/02/2026
Help!!! We're working on a Bayesian approach for decoding MERFISH images in 3D, and we’re trying to identify an accessible MERFISH dataset that’s “truly volumetric” in the imaging sense. Even a pointer to the right paper, repository, or person to ask would be helpful. Thanks so much!
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Steve Pressé @labpresse.bsky.social · 12/01/2026
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
arxiv.org
Revisiting the scale dependence of the Reynolds number in correlated fluctuating fluids
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Steve Pressé @labpresse.bsky.social · 21/12/2025
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 :)
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Reposted by Steve Pressé
Alessandro Rigolon @alerigolon.bsky.social · 20/12/2025
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
science.org
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...
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Steve Pressé @labpresse.bsky.social · 20/12/2025
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 😢
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Steve Pressé @labpresse.bsky.social · 16/12/2025
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 🍹
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Steve Pressé @labpresse.bsky.social · 02/12/2025
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...
pubs.aip.org
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
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Steve Pressé @labpresse.bsky.social · 05/11/2025
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.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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Steve Pressé @labpresse.bsky.social · 03/11/2025
Lab Halloween fun before lab reception for Weiqing Xu’s departure to the lab of @jonasries.bsky.social We will miss you Weiqing!
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Steve Pressé @labpresse.bsky.social · 31/10/2025
Here is the original: pubs.aip.org/aip/jcp/arti...
pubs.aip.org
Perspective: An outlook on fluorescence tracking
Tracking single fluorescent molecules has provided new insights into dynamic molecular processes at the single-molecule level. This Perspective traces the evolu
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Steve Pressé @labpresse.bsky.social · 30/10/2025
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...
aip.org
Tracing fluorescence tracking’s past, present, and future
Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.
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Steve Pressé @labpresse.bsky.social · 23/10/2025
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...
news.asu.edu
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...
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Steve Pressé @labpresse.bsky.social · 12/10/2025
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
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Steve Pressé @labpresse.bsky.social · 11/09/2025
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 😊)
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Steve Pressé @labpresse.bsky.social · 10/09/2025
One of my favorites by Voltaire in describing Canada “quelques arpents de neige, habités par des barbares, des ours et des castors” 🙃
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Steve Pressé @labpresse.bsky.social · 10/09/2025
Thanks to the CTBP for the wonderful invitation for a seminar at Rice! 🙏 Joining me are Tolya Kolomeisky and Oleg Igoshin.
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 08/09/2025
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
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Steve Pressé @labpresse.bsky.social · 14/08/2025
Thanks for the link to your paper!
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Steve Pressé @labpresse.bsky.social · 12/08/2025
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
arxiv.org
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...
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Steve Pressé @labpresse.bsky.social · 06/08/2025
6/6 If you plate, you need REPOP. Software -- github.com/PessoaP/REPOP Preprint -- elifesciences.org/reviewed-pre... Special thanks to the Lab Members @pedropessoaphd.bsky.social, Carol Lu and Stanimir Tashev As well as Rory Kruithoff and @dpshepherd.bsky.social #Biophysics #QuantitativeBiology
github.com
GitHub - PessoaP/REPOP
Contribute to PessoaP/REPOP development by creating an account on GitHub.
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Steve Pressé @labpresse.bsky.social · 06/08/2025
5/6 This is why we built REPOP, an #opensource tool to REconstruct POpulations from Plates. Straightforward to use and with tutorials available on #GitHub github.com/PessoaP/REPOP With all the #Bayesian rigor and #PyTorch speed
github.com
GitHub - PessoaP/REPOP
Contribute to PessoaP/REPOP development by creating an account on GitHub.
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Steve Pressé @labpresse.bsky.social · 06/08/2025
4/6 As we show in the paper, this - Overestimatese variability - Can miss real structure in your population: Subpopulations and/or multimodality as biological differences across samples,
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Steve Pressé @labpresse.bsky.social · 06/08/2025
3/6 This assumes: – No randomness in how many bacteria end up on the plate – No randomness in the original swab In reality, every step is noisy.
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Steve Pressé @labpresse.bsky.social · 06/08/2025
2/6 Plate counting is a simple: You dilute a sample, plate a small volume, and count colonies. Say you dilute by 200×, and count 50 colonies. Easy just multiply 50 × 200 = 10k bacteria, right? NOT QUITE...
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Steve Pressé @labpresse.bsky.social · 06/08/2025
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
elifesciences.org
REPOP: bacterial population quantification from plate counts
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Steve Pressé @labpresse.bsky.social · 05/08/2025
3/3 In it, we simulate some general physical systems that violate the HMM's assumptions and demonstrate contradictory results that can arise. Surprisingly, the problems with HMM analysis only grow with better data acquisition (higher data acquisition rate and/or reduced noise).
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Steve Pressé @labpresse.bsky.social · 05/08/2025
2/3 HMM are classic in time series analysis, but they can yield confusing, seemingly contradictory results. In particular, when applying HMMs to physical systems where two key HMM assumptions, that state spaces are discrete, and that transitions are instantaneous, don't apply.
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Steve Pressé @labpresse.bsky.social · 05/08/2025
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
arxiv.org
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...
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Reposted by Steve Pressé
Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 05/08/2025
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...
youtube.com
Mamba time series forecasting with uncertainty quantification
YouTube video by Xiaol.x
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Steve Pressé @labpresse.bsky.social · 04/08/2025
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
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