Bodhi Vani
@bodhivani
ML/statmech/biophys @PrescientDesign. Ex @tiwarylab @IPST, PhD @ Dinner Group @UChicago, @IITB. Likes molecules jiggling and wiggling on manifolds.
ID: 900424787520102400
https://bodhivani.github.io/ 23-08-2017 18:29:33
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Awesome thread by Pratyush Tiwary about my last first-author work as a post-doc!
Internship opportunity at Microsoft Research #AI4Science on generative protein models. Location Berlin, Amsterdam or Cambridge. Apply here asap: jobs.careers.microsoft.com/global/en/job/…
Check out our new review led by Shams Mehdi on "Enhanced Sampling with Machine Learning" In a field that moves crazy fast, this review covers a whole lot from autoencoders to different flow models annualreviews.org/doi/abs/10.114…
We're delighted that "Protein Discovery with Discrete Walk-Jump Sampling" has won an Outstanding Paper Award at #ICLR2024! 🎉 Congratulations to Nathan C. Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau,
OpenFold developed by Gustaf Ahdritz, Nazim Bouatta, and Mohammed AlQuraishi is a trainable, open-source implementation of AlphaFold2. It is fast and memory efficient, and the code and training data are available under a permissive license. nature.com/articles/s4159…
Dive into the world of explainability in graph DL for biomedicine with Chirag Agarwal and me online at #ISMB2024 on July 8! iscb.org/ismb2024/progr… 🌐💻You'll learn: 🧬 The basics of graph DL & GNNs in biomedicine 💡 Why explainability is key in biomedical ML models 🧵⬇️
Only Pratyush Tiwary could come up with this experiment! Go apply and change the paradigm of postdoctoral positions (and tell me how it goes!)