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...

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

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

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

youtube.com

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

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...

arxiv.org

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

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...

biorxiv.org

Unadulterated images of my talk at #Biophest today

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

"What is a GPTase?" Answer: Protein that destroys large language models 😂 😂 😂 #AI #biophysics #BPS2025

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

#bps2025

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!

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

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

📣 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

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