check out our new work led by Gian Marco Visani on equivariant holographic variational auto-encoder (H-VAE) in Physical Review Research it extracts geometry-aware compressed representations of 3D point clouds, e.g. proteins, used for protein binding prediction &... journals.aps.org/prresearch/abs…

Holographic-(V)AE: An end-to-end SO(3)-equivariant (variational) autoencoder in Fourier space, Gian Marco Visani, Michael N. Pun, Arman Angaji, and Armita Nourmohammad Dr. Armita Nourmohammad Gian Marco Visani University of Washington Allen School @physicsuw #NeuralNetworks go.aps.org/4cyPTMd

Dr. John C. Mather from NASA will give the next Frontiers of Physics Public Lecture at University of Washington Seattle on May 8th. Register for free at frontiers.uw.edu and come learn about NASA Webb Telescope !

Is the #AMOC approaching a tipping point? Here's my take after researching this topic for over 30 years. Open access, peer-reviewed, in full colour & understandable for non-experts. tos.org/oceanography/a…

Joins us for Machine Learning in Computational Biology (MLCB) 2024 mlcb.github.io Submission deadline: June 15 Conference dates: Sept 5 & 6

For postdocs and other early-career physicists, this is a great way to get involved!

very excited about the upcoming theory of living matter seminar Theory of Living Matter Group

Do you have an excellent idea for an NITMB Long Program? Learn how the NITMB can support you as you develop your idea into an exceptional program! 🧵(1/5)

🚨Wed 29/05 - Theory of Living Matter Group online seminar🚨 Professor Hernan García Hernan Garcia (UC Berkeley) on “Using Physics as a Microscope to Dissect Transcriptional Dynamics in Development” Please RT & to attend online please register to our 📧: lists.cam.ac.uk/sympa/subscrib…

We don’t want this climate future for Europe - in my view it’s a risk we should avoid at all cost, as I explain in this video: youtu.be/ZHNNW8c_FaA?si…

Check out HERMES, our equivariant structure-based suit of models to predict stability and fitness effect of mutations, led by Gian Marco Visani arxiv.org/abs/2407.06703 bonus: fine-tune your own protein models. Google Colab: colab.research.google.com/drive/1JQxkXeG… Github: github.com/StatPhysBio/pr…

We are hiring post-docs! Please do not hesitate to share. We are especially looking for candidates with strong theory and computational backgrounds, who dream about 1. applying their skills and 2. developing new ones to understand squishy, non-linear, evolving ... stuff ! 😉

My 'Predicting the evolution of antibiotic resistance' is out now 🤓🥹 tinyurl.com/3pkyejwp I review a topic that's very dear to my ❤️- how quantitative models of resource allocation can help predict bacterial behavior under stress 🦠💊 #AntibioticResistance #compbio

Are you an undergraduate interested in pursuing graduate studies biological physics? Join us for a virtual panel “Applying to Graduate School in Biophysics” with panelists who have been on both sides of the application process! Oct. 3 at 3pm ET. Register: apsphysics.zoom.us/webinar/regist…

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction 1. HERMES introduces a cutting-edge 3D rotationally equivariant neural network model to predict the effects of mutations on protein stability and binding, significantly improving

Are you an early career scientist who wants to pursue a research project in the lab of a Fred Hutch Computational Biologist mentor? If yes, then the #MahanFellowship is for you. Apply by Dec. 20, 2024! Learn more: apply.interfolio.com/157470

🚨 Job Alert! 🚨 Join the UC Berkeley Physics Department! We’re hiring an Assistant Professor in soft condensed matter (broadly defined). Both experimentalists and theorists are encouraged to apply! aprecruit.berkeley.edu/JPF04653

Curious about generative modeling for T and B cell receptor repertoires and its role in understanding immune system diversity? Watch my talk here youtu.be/HVUYG-UmRH8?t=…. Thanks to the airr_community and GreiffLab 💻🔬💊 for the opportunity to share our work!