Vida Jamali
@VidaJamali
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Assistant Professor @GTChBE, @UCBerkeley @RiceUniversity Alumni, #Nanoscience #ElectronMicroscopy #ArtificialIntelligence ๐ฉ๐ปโ๐ฌ๐ฌ๐ค
Atlanta, GA
Joined September 2013
At #NeurIPS? Stop by our poster ๐๐ผ๐ฑ๐ฎ๐ @ ๐ฐ:๐ฏ๐ฌ๐ฝ๐บ (#๐ญ๐ฌ๐ฌ๐ต) on explaining genomic and protein sequence models at scale! Excited to meet people and open to fun collaborations!
Excited to announce our paper, SHAP zero, has been accepted into NeurIPS 2025! SHAP zero takes the first steps toward extracting biological insights at scale from machine learning models by amortizing the cost of explanations across large biological datasets. (1/n)
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I will be at #NeurIPS2025 Dec 2-7! Come check out our AI4Mat talk on Segment Anything Model for Electron Microscopy (SAM-EM) and stop by our @AI_for_Science poster on using gen AI to learn stochastic time series dynamics. Looking forward to great discussions!
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Machine learning to scan for signs of extraterrestrial life, via @EurekAlert! @PNASNexus
eurekalert.org
A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological processes and could be used to analyze samples returned by current and...
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Want to learn more? Check out our project website: https://t.co/4Ly3A5fIgr And a huge shout-out to our fantastic team: @zain_shabeeb @darin_tsui @saeedi_daniel
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This work, in collaboration with @amiraliagz and his group, will inform future coded-aperture design for electron microscopes and is the first of many exciting projects from our @GTMatterSystems collaborative research program
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New preprint๐จ: 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 https://t.co/jk80O3folu
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Well deserved!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Chemistry to Susumu Kitagawa, Richard Robson and Omar M. Yaghi โfor the development of metalโorganic frameworks.โ
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#Nanotechnology is protecting you against #SkinCancer. #Sunscreens with #nanoparticles protect you from the sun by effectively absorbing harmful UV radiation and make sunscreen transparent on the skin. #NationalNanoDay
https://t.co/Bn41FHPWyh [Video credit: iStock]
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Our new work on the utility of SAEs in Low-N protein function prediction and design tasks @darin_tsui
Sparse Autoencoders for Low-N Protein Function Prediction and Design 1. This study explores the use of Sparse Autoencoders (SAEs) for predicting protein function and designing proteins in low-data scenarios, demonstrating significant improvements over existing methods. 2. SAEs
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The U.S. government should fund Ph.D. students directly through fellowships, and not tied to grants for specific research projects. This makes clear to all that a primary benefit of government investment in research is a highly skilled technical workforce.
A basic problem in science funding in most countries is that the government decides how many scientists to support but universities/institutes decide how many scientists to hire & those #'s are incongruous. I'll never understand why they don't just talk to each other & coordinate
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Statistical polymers are the workhorse of so many wonderful real-world technologies in our world, and we sincerely hope that ChainSpace offers greater insight into their functionality for polymer scientists working experimentally and computationally on materials discovery ๐
๐งฌ Sequence defines functionโ not just in biology, but in polymer science too Nanite is proud to share ChainSpace, our new framework for sequence-aware polymer design, developed to unlock new frontiers in next-generation programmable materials ๐คโ๏ธ ๐ช ๐ https://t.co/2vwg2HlChB
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Dr. Vida Jamali's (@VidaJamali) research team has developed an AI model that learns the underlying physics governing nanoparticle movements in fluids. https://t.co/S13VUjI1v7
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This model is for anyone working with stochastic trajectories in complex environments without closed-form equations. Thanks to TEM @ GT @GTMatterSystems ๐ค๐ฌ Huge thanks to the reviewers; this was one of the most constructive review experiences I have had.
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๐จ New paper from my lab!๐จLed by @zain_shabeeb We developed a physics-informed Transformer-VAE that learns the complex motion of NPs in LPTEM, linking stochastic trajectories to hidden physical interactions @NatureComms @gatechengineers @GTChBE
nature.com
Nature Communications - Understanding nanoparticle motion in complex liquids via Liquid phase transmission electron microscopy is limited by the difficulty of linking observed dynamics to...
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Our Agentic AI is generating hypotheses about the Origin of Life. ๐๐ค @gatechengineers
Can AI help uncover the origins of life on Earth? AstroAgents is working on it. The agentic AI system understands astrobiology research, analyzes meteorites, and sparks new ideas. Hear from the researchers: https://t.co/00Tc9EHtZR.
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Congratulations to our 2025 class of SoR Fellows! Fellows will be inducted in our October Annual Meeting in Santa Fe, NM #SoR02025. Paulo Arratia @ArratiaPaulo, Randy Ewoldt @rhewoldt, Anke Lindner, Joao Maia, Matteo Pasquali, Fernando Pinho, and Patrick Spicer
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๐โก๏ธ๐Our AI Scientists for hypothesis generation for Origins of Life is covered in a story published today in @Nature #AstroAgent @gatechengineers @mlatgt @GeorgiaTech_ECE
nature.com
Nature - The collaborative system generated more than 100 hypotheses relating to the origins of life in the Universe.
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A reminder for faculty candidates in the nanoscience and nanotechnology area to submit your abstracts for NSEF session. The deadline is in less than a month #AIChE2025 @AIChE_NSEF
๐ขFaculty candidates in the area of nano, please submit your abstract for the 2025 AIChE NSEF faculty candidate session by Apr 7! Looking forward to seeing you all in Boston, MA in November #AIChE2025
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๐ขFaculty candidates in the area of nano, please submit your abstract for the 2025 AIChE NSEF faculty candidate session by Apr 7! Looking forward to seeing you all in Boston, MA in November #AIChE2025
aiche.confex.com
This session invites faculty candidates who are in the field of nanoscale science and engineering.
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Two absolutely fantastic bioimage analysis papers out today offering exceptional, generalizable tools for segmentation--Cellpose3 and Segment Anything for Microscopy. (1/3)
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