Some numbers about language experience: LLMs are trained on > 1T words. We get 100M words. It would take us 24,000 years to read 1T words. Our DNA is ~700MB or 6B English words. Conclusion: info from *both* learning and 4B years of evolution is *far* less than what LLMs get.

In this student-requested video, I demo the process of making a high quality publication-ready figure (from making a mockup to enhancing visual similarity in Illustrator) and narrate my general process. Follow along 📽️: youtube.com/watch?v=L9qo2X… #phdlife #AcademicTwitter #dataviz

Nvidia just released free AI courses. No payment needed. Here are 9 courses you don't want to miss in 2025:

Is #DataEngineering important for #DataScience practitioners? medium.com/@anatolybuchin…

Nice overview of AI in biotech, robotics and neurotech from Tommy Ly

My take on simple vs complex models in comp bio medium.com/@anatolybuchin… #CompBio #DataScience #Bioinformatics

Amazing new resource for sc Data and AI models!

Science Matters. 🧪🔬🚀 I am alive because of science. We all benefit from science — every day. Science is in our homes, our hospitals, our streets, our work. For 80 years, science and technology have been a north star for the United States. In 1945, Vannevar Bush’s report to

We should all stand up for science!

Super interesting take on why you should still code in the age of AI. Historical parallels are always important to consider.

Multi-modal models review.

It was a pleasure to share insights on industry job search UW Computational Neuroscience Center UW_NBIO When times are hard, it is important to help next generation scientists to find the job. medium.com/@anatolybuchin…

I am very excited to share some of the work we’ve been building at Synthesize Bio We’ve harmonized and released one of the largest collections of public human bulk RNA-seq data — over 500,000 samples. product.synthesize.bio #Genomics #RNAseq #AI E

Visiting SF over the weekend. Staying near Calico story line. Let’s connect if you are in the area.

Thoughtful review on applications of foundational models for drug discovery scalevp.com/insights/the-f…

I am alarmed by the proposed cuts to U.S. funding for basic research, and the impact this would have for U.S. competitiveness in AI and other areas. Funding research that is openly shared benefits the whole world, but the nation it benefits most is the one where the research is

🚀 Xaira Therapeutics has just dropped a game-changer for AI-driven biology. Today, we unveiled X-Atlas/Orion, the largest publicly available genome-wide Perturb-seq dataset to date—spanning 8.4 million single cells with perturbations across all ~20,000 human protein-coding

Do deep generative models in single-cell omics really work for perturbation prediction? Some benchmark studies say yes: 🔗 arxiv.org/pdf/2408.10609 🔗biorxiv.org/content/10.110… Others say no: 🔗 arxiv.org/abs/2410.13956 🔗 BMC Genomics: bmcgenomics.biomedcentral.com/articles/10.11… To move beyond this

Writing is thinking LLMs could not think for us. nature.com/articles/s4422…

Hi everyone, I am actively seeking new opportunities at the intersection of #MachineLearning, #DeepLearning & #ComputationalBiology. Experienced in AI for drug discovery, generative models, and large-scale omics pipelines. Open to roles in #Biotech, #Pharma & #HealthcareAI RT