Congratulations to Van Truong (UPenn GCB), recipient of a Penn Global Dissertation Grant in support of her research focused on genomics & computational biology in Vietnam! tinyurl.com/mryxfnyk

LLM from scratch A minimal PyTorch implementation for training your own small LLM from scratch. Designed for educational purposes and simplicity, featuring efficient training, flash attention, and modern sampling techniques. Features ✨ Minimal Codebase: Pure PyTorch

🧠 What happens in the brain when we turn ideas into stories, and what makes a story truly creative? Our latest study explores the neural mechanisms supporting semantic control during narrative ideation. #fMRI + #LLMs Out in Communications Biology A thread 👇

💥Our most current work is available as preprint💥‼️"Decoding the brain during intelligence testing"💥- We use fMRI and EEG to study the brain when intelligence actually happens 🧠 We share all code and data online 🌞doi.org/10.1101/2025.0…

An opportunity to *join our group* as a postdoc researcher analyzing complex physical systems, and the time-varying data they produce (with applications to sleep)! Join us on a great campus in a beautiful city! Please share 🙂 usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_…

New method for imaging-genetics multimodal learning: A genetically informed brain atlas for enhancing brain imaging genomics, by our excellent PhD student at UPenn Jingxuan Bao Nature Communications nature.com/articles/s4146…

Congratulations to Joseph (Penn Engineering), Shu (Dept. of Biostatistics, Epidemiology & Informatics), Tianqi (UPenn GCB), Weiqing (Penn Arts & Sciences) and all the co-authors for winning two Distinguished Paper Awards at #IS25 AMIA! Penn IBI AI2D Penn LDI Institute on Aging ibi.med.upenn.edu/wp-content/upl…

Great work led by Jingxuan Bao , Junhao (Hao) Wen , supported by Li Shen and Qi Long. Congrats all co-authors!

Our new paper is out in Science. What is the synaptic plasticity rule in the brain, we asked. It turns out there are multiple, even within individual neurons. Congrats Jake! science.org/doi/10.1126/sc…

🔥There were some cool developments today in generative AI that might help with medical image enhancement (super-resolution, i.e. getting better quality medical images). 🔥To see why, here is some background: 🧵Generative AI models based on “diffusion” add noise to an image (or

Check out our new review on the history and future of resting state fMRI 🧠 Bharat Biswal nature nature.com/articles/s4158…

We know Attention and its linear-time variants, such as linear attention and State Space Models. But what lies in between? Introducing Log-Linear Attention with: - Log-linear time training - Log-time inference (in both time and memory) - Hardware-efficient Triton kernels

Trained as a computer scientist and bioengineer, I am over the moon to publish our paper (Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders) at @NatureBME: nature.com/articles/s4155….

Russell (Taki) Shinohara (U Penn) thought-provoking talk on DeepComBat, now I finally understand it ! 🔥 Goal = harmonize neuroimaging data x∈R^p across batches b∈{1,…,B} but preserve meaningful biological variation. Overcomes linearity of ComBat by learning nonlinear latent

Sincere thanks to the organizers for hosting us. We truly enjoyed the inspiring and well-run program at the Summer Innovation Institute.

Verrrrry intriguing-looking and labor-intensive test of whether LLMs can come up with good scientific ideas. After implementing those ideas, the verdict seems to be "no, not really."

Check out the oral presentation by Mengyuan Liu about Unveiling the biological substrates of glucose metabolic covariance in the human brain OHBM 2025! Today, June 28 at 11:42 in the Great Hall! ww6.aievolution.com/hbm2501/Abstra…

Check out this cool new cross-sectional transdiagnostic dataset recently released by Sidhant Chopra and colleagues 🧠👏 Download link: openneuro.org/datasets/ds005… nature.com/articles/s4159…

LABS is currently recruiting at all levels, including postdoctoral researchers and PhD candidates (through Columbia Engineering): labs-laboratory.com/job. Come join us for cool science on multi-organ, multi-omics modeling of human aging and disease!