Danial Saeedi

Thrilled to share that cryoSENSE has been accepted to #CVPR2026 🎉. Thanks to the amazing team: @zain_shabeeb, @saeedi_daniel, @darin_tsui, and @amiraliagz @gatechengineers @GTChBE @GeorgiaTech_ECE

Proud of this work from our lab; moving closer to a mechanistic understanding of protein language models.

🚨Excited to share ProtoMech: a framework for discovering the computational circuits inside protein language models (pLMs)! pLMs like ESM2 are powerful, but the computational mechanisms, or circuits, underlying their predictions remain poorly understood. (1/n)

Paper: academic.oup.com/pnasnexus/arti… Project website: life-tracer.github.io #NASA #Meteorites #OriginOfLife

🚀 Our new paper is out in PNAS Nexus! We introduce LifeTracer, a machine-learning framework that analyzes high-res mass-spectrometry data from meteorites and Earth samples to distinguish abiotic vs biotic organics, helping future sample-return missions search for life.

New preprint🚨: cryoSENSE. We show that diffusion models as generative priors, along with sparse priors, can boost electron microscopy data throughput by reconstructing high-resolution cryo-EM images from compressed measurements arxiv.org/abs/2511.12931

It’s here! #Agents4Science recording is now on YouTube! 🏆 3 Best Paper talks ⚡️ 11 Spotlights 🧠 Panel on the future of AI agent-driven science 📚 Lessons + surprises from this first-of-its kind conf Full analysis of submissions + reviews coming soon! youtube.com/watch?v=7pXqAe…

AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data astrobiology.com/2025/04/astroa… #astrobiology #astrochemistry #AI