Axel Levy
@axlevy0
PhD candidate @stanford & @SLAClab
CryoDRGN-AI ❄️🐉🤖 is now published in @naturemethods!!! So excited to see this out and a huge congrats to @axlevy0 and team! CryoDRGN-AI extends cryoDRGN from requiring input, fixed camera poses, to end-to-end ab initio reconstruction of biomolecules and their conformational…
We present DRGN-AI for fast, ab initio cryo-EM reconstruction! * learns a neural field from unposed images, * designed for single-shot reconstruction of unfiltered datasets, * finds new states missed by prior approaches! Teamwork led by @ZhongingAlong drgnai.cs.princeton.edu 1/
Here is what my friend remembers from my PhD defense. For the full story: m.youtube.com/watch?v=QwI2a1… Thank you to my examination committee (@MikeDunne_LCLS, @GordonWetzstein, @ZhongingAlong, @fredericpoitev1, John Pauly, Ron Dror), my collaborators and Bastien for the screenshot!
🚨New paper at #NeurIPS2024! We present Hydra, a mixture of neural fields 🐉🐉🐉 for ab initio cryo-EM reconstruction of complex mixtures. Hydra is our attempt at pushing the boundaries for even more extreme forms of heterogeneity in cryo-EM 🤯. This was joint work with an…
Presenting MELON, a technique that can determine object-centric camera poses entirely from scratch while reconstructing the object in 3D. MELON can easily be integrated into existing NeRF methods and requires as few as 4–6 images of an object. Learn more →…
We present a new algorithm, cryoFIRE ❄️🔥, for fast ab initio heterogeneous reconstruction, appearing at @NeurIPSConf this Dec! Really proud to share our latest work, led by the amazing @axlevy0, and my first paper @PrincetonCS #EZlaboratory Paper: arxiv.org/abs/2210.07387 1/