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Pedro Pessoa, PhD

@pedropessoaphd.bsky.social
15 followers 13 following 33 posts

Postdoctoral Researcher at Arizona State University For a look at my research papers , tutorials and other scientific texts see my website pessoap.github.io

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Reposted by Pedro Pessoa, PhD
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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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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Reposted by Pedro Pessoa, PhD
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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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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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 19/06/2025
No likelihood? No problem The class of stochastic models we can simulate is A LOT larger than the ones we can write likelihoods. What if we could learn the likelihood directly from simulation? See the 🧵👇 arxiv.org/abs/2506.09374 #SimulationBasedInference #Neuralnetworks #AI
arxiv.org
Simulation-trained conditional normalizing flows for likelihood approximation: a case study in stress regulation kinetics in yeast
Physics-inspired inference often hinges on the ability to construct a likelihood, or the probability of observing a sequence of data given a model. These likelihoods can be directly maximized for para...
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 07/04/2025
Hello all, 📣📣📣 If you do #PlateCounting , I want you to take a look at this new preprint.🧫🧫🧫 If you don't, I still encourage you to join for an interesting discussion. Follow the thread 🧵 doi.org/10.1101/2025... #Microbiology #DataScience #PyTorch #QuantitativeBiology #REPOP
biorxiv.org
REPOP: bacterial population quantification from plate counts
Bacterial counts from native environments, such as soil or the animal gut, often show substantial variability across replicate samples. This heterogeneity is typically attributed to genetic or environ...
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 29/03/2025
Unadulterated images of my talk at #Biophest today
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 14/03/2025
Happy #PiDay, everybody! 🥧🥧🥧🥧🥧🥧 Today, we celebrate π with a fun (but dubious) way to calculate it: 1️⃣ Toss random points into a square. 2️⃣ Count how many land inside the inscribed circle. 3️⃣ Use the ratio to approximate π/4 labpresse.com/2053-2/ #Bayes #DataScience #MonteCarlo #Probability
labpresse.com
Bayesian PI – Pressé LabWelcome file
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 17/02/2025
"What is a GPTase?" Answer: Protein that destroys large language models 😂 😂 😂 #AI #biophysics #BPS2025
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Reposted by Pedro Pessoa, PhD
MichelleDigman @digmanlab.bsky.social · 15/02/2025
It’s my favorite time of the year where I see my colleagues and hear about their amazing work at the annual Biophysical society meeting in LA! The Biological Fluorescence Symposium subgroup session is in full swing! #BPS2025
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 16/02/2025
#bps2025
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Reposted by Pedro Pessoa, PhD
Theanne Griffith, PhD 🇧🇧👩🏽‍🔬🇭🇷 @doctheagrif.bsky.social · 15/02/2025
Attending #BPS2025? Want to know more about tangible steps you can take to challenge the attacks on science in the U.S.? Please attend an Emergency Town Hall Meeting on Tuesday at 1:30! @biophysicalsoc.bsky.social @blackinbiophys.bsky.social Please spread the word!
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 15/02/2025
Hello everyone 📣📣📣 This week, I'm attending the #BPS2025 Annual Meeting in Los Angeles. Interestingly, all the works I'm co-authoring are scheduled at the same time: Tuesday, February 18, from 1:45 PM to 3:45 PM. #Biophysics #Bayesian #AI #Statistics #Research #Science
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 26/01/2025
Often in social media, questions like "find the next number in the sequence" are posed as indicators of intelligence. This approach to demonstrate cognitive prowess is dubious (to say it mildly). Follow the🧵 #ProblemSolving #Mathematics #Logic #DataScience #Mathematics #Science #STEM #Education
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 26/01/2025
📣 Hello everyone 📣 Here on BlueSky I will share my tutorials in datascience, statistics, and AI. For a nice start, see my tutorial on solving differential equations using neural networks. labpresse.com/solving-diff... #AI #Physics #PyTorch #PINNs #NeuralNetworks #DifferentialEquations #science
labpresse.com
Solving differential equations using neural networks – Pressé LabPINN_tutorial.md
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Pedro Pessoa, PhD @pedropessoaphd.bsky.social · 26/01/2025
Hello everyone, I am pleased to announce a new paper and a new software package: NFdeconvolve! 🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉 📄 ArXiv – arxiv.org/abs/2501.08288 🛠️ GitHub – github.com/PessoaP/NFde... Follow the🧵 #datascience #MachineLearning #NormalizingFlows #Deconvolution #SignalProcessing #statistics #python
lnkd.in
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