dxbarradas
@dxbarradas
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Data and Viz scientist. I like biochem as munch as Comp. Sci. Views and opinions are mine not my employer
Joined July 2012
El mejor video que tengo para explicar mi tesis en menos de 3 minutos
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#compchem #machinelearning #quantumcomputing We have several open positions and we are looking for: - 2 postdocs in machine learning to work on foundation models (theoretical developments) - 1 HPC engineer to work on quantum computing - 1 HPC engineer in the framework of ab
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BIG ANNOUNCEMENT📣: I haven’t been this excited to be part of something new in 15 years… Thrilled to reveal the passion project I’ve been working on for the past year and a half!🙀🥳 It started from my frustration with the depressing effect that the current publishing system has
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PymolFold: A PyMOL Plugin for API-driven Structure Prediction and Quality Assessment 1. PymolFold is a novel PyMOL plugin that integrates state-of-the-art protein structure prediction models like ESM-3 and Boltz2 into the PyMOL visualization environment, creating a unified
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Start of the #DataScientists journey , how do I install these libraries and not due in the process ? Lean on #conda That’s my workshop about , today at the university 😉
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We've released La-Proteina fully open source! New blog and source code available on our digital biology research site and github.
🧬La-Proteina🧬 The first generative model demonstrating accurate co-design of fully atomistic protein structures (sequence + side-chains + backbone) at scale, up to 800 residues, with state-of-the-art atomistic motif scaffolding performance - has just made its code open-source!
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💡 Did you know that #LightDock was developed by Zymvol’s CTO @br_jimenez , together with @dxbarradas and @jroeltou ? If Structural Biology is your thing, try out this tool for modelling interactions between macromolecules. ✅ Free ✅ Open server ✅ AI-powered
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Un nuevo estudio sobre Vision-Language Models muestra algo inquietante: Cuando una imagen coincide con lo que ya han memorizado, aciertan. Pero si cambias un detalle mínimo —una pata extra en un perro, una raya de más en un logo— fallan de forma sistemática. En el famoso
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Buenos días! Esta tarde nos vemos en el escenario #BigBang del estupendo Festival @sonoramaribera, donde daré la última charla tras los grandes @Okinfografia y @edusadeci 😊
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Great keynote speakers Professor @SFatumo and Prof. Dame Janet Thornton! Don’t miss @iscb_scs 2025! We want you there 😍
Registration is open for #SCS2025! 📍Join us July 20 (Liverpool, UK & virtually) for a vibrant student-led bioinformatics symposium held just before ISMB/ECCB 2025. 🌟 Gain insights from world-class speakers, explore research, and network. 🔗 https://t.co/Ot6gNTKD9X
@iscb
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I don't wanna say 'I told you so', but I told you so.
Why can AIs code for 1h but not 10h? A simple explanation: if there's a 10% chance of error per 10min step (say), the success rate is: 1h: 53% 4h: 8% 10h: 0.002% @tobyordoxford has tested this 'constant error rate' theory and shown it's a good fit for the data chance of
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I'm presenting at #ISMBECCB2025 in Liverpool, United Kingdom from July 20-24.Come to see my poster on "Structure and interactions analysis of natural variants in response to climate changes in food security" at @3DSIG_ISCB! Register also for @iscb_scs 2025
invt.io
Register now
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Roche is hiring! 6 new positions available Individual job details below!👇 1/7
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Join us on August 4-7 in Singapore for Asia Pacific Congress on Catalysis ( https://t.co/HBuzv01MBN) and International Symposium on Single-Atom Catalysts featuring 10 symposiums on all areas of catalysis including "Computational Catalysis and AI" @SCS_APCAT10
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Secure your spot at ISMB/ECCB 2025! Join the global bioinformatics community for expert-led sessions, workshops, and various networking opportunities.
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🚀 Here is a quick 60-second dive into high-dimensional data from my recent PyTorch workshop for data scientists! 📊 Was this example clear for high-dimensional data? https://t.co/eh1jamKvkN
#DataScience #PyTorch #DeepLearning #MachineLearning #AI #KAUST
@KAUST_Vislab
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We are looking for a Doctoral Candidate with a #bioinformatics background to use metagenomics to study microbial pathogens in non-clinical niches as part of #SPOILCONTROL @MSCActions DN DC5 - Pathogenic Flora https://t.co/GBNHsqjhfW
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On Tuesday, I led a PyTorch workshop for data scientists💻Squeezing deep learning basics into a few hours⌚️ was wild. 😅 We covered PyTorch, neural nets, & hands-on coding. Check our GitHub ( https://t.co/PS1WSbpOHa) for code! #DataScience #PyTorch #AI @KAUST_Vislab
github.com
Repository of teaching materials for the Introduction to Data Science Workshop Series - kaust-vislab/introduction-to-data-science-workshop
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🚀 Workshop Recap: Intro to Git for #DataScience Our KVL team hosted a version control #Workshop tailored for data scientists. 🧑🔬👩🔬 Key Takeaways: What is Version Control? 🗂️ Git Commands Overview: Next Workshop: #PyTorch for Data Science 🧠 #Git #KAUST @kaust_corelabs
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