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Research Scientist at the Flatiron Institute | biological temperature sensors 🌡️ cryo-EM 🔬computational biophysics 👩🏼‍💻
Sonya









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Introducing MIMIC: a new foundation model trained natively across DNA, RNA and proteins. MIMIC is multimodal and generative: it can use structure, regulation, evolution, and experimental context to infer missing biology or design new sequences. 🧵⬇️
This was fun to pull together! Such a fast moving field!
1mo
Video
We just preprinted one of my favorite studies @FlatironInst . I was lucky to be part of an amazing team studying the effects of rapid cooling to preserve samples in cryoEM. Read on to learn about the limits of cryoEM for biophysics and how to overcome them www.biorxiv.org/content/10.6...
What a treat! What do you think is the future of Biophysics?
ROCKET came out on Nature Methods today. It takes a tremendous amount of effort to translate a research concept into a practical tool—one that researchers can seamlessly drop into their existing pipelines. We learned a lot along the path and will carry that spirit forward.
Congrats!! 👏🥳🎉
2mo
1mo
Excited to announce this postdoc position at the intersection of experiment and computation for time-resolved cryo-EM! It's a collaboration between the Enchev group at the Crick and myself and @pilarcossio.bsky.social at the Flatiron Institute! Plz share. crick.wd3.myworkdayjobs.com/External/job...
2mo
2mo
2mo
Video
Samuel Sledzieski
2mo
After three inspiring days filled with excellent science our @cecamevents.bsky.social meeting has come to an end!
Now accepting applications for our Synthetic Plant Biology program, which supports research that applies engineering principles and techniques to advance our understanding of how plants function. More details: https://bit.ly/4x37PJ3 #science #biology #funding #lifesciences
Sonya
Sonya
2mo
Salary for this Role: From £53,025 per annum plus benefits, subject to skills and experience Job Title: Senior Data Scientist Reports to: Radoslav Enchev Closing Date: 06/May/2026 23.59 GMT Job Descri...
crick.wd3.myworkdayjobs.com
Senior Data Scientist
Miro Astore
Sonya
10d
Postdoc openings on experimental data integration integration into BioEmu-next, focusing on cryo-EM and binding affinities. Join us at @msftresearch.bsky.social Cambridge or Berlin. #AI #MachineLearning #Protein #Biology apply.careers.microsoft.com/careers/job/...
Minhuan Li
Sonya
10d
Matthieu Chavent
Simons Foundation
Frank Noe
Funding Available for Synthetic Plant Biology Research on Simons Foundation
bit.ly
Funding Available for Synthetic Plant Biology Research
Design and scale experimental datasets for ML Develop workflows that connect noisy experimental signals to actionable model insights 1. Bridging Models with Real-World Experimental Signals Develop met...
apply.careers.microsoft.com
AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration | Microsoft Careers
Our review on ML for modeling conformational ensembles is out now in Current Opinion in Structural Biology (w/ @sonyahanson.bsky.social)! It's been exciting to follow all the progress in this field recently, and I'm equally excited to see where it goes! www.sciencedirect.com/science/arti...
Celebrating #BiophysicsWeek T&C partnered with Phase Space Invaders podcast: Robert Best @sonyahanson.bsky.social @xuhuihuangchem.bsky.social and host @milosz-wieczor.bsky.social Episode 32: Driving the Future of Biophysics: What’s Next in Theory and Computation? www.buzzsprout.com/2313153/epis...
ROCKET 🚀 inference-time optimization of AlphaFold to fit structural data is published! rdcu.be/fa9YH Since our preprint, we’ve pushed it to regimes where other methods break: low resolution, weak signal, real experimental edge cases. Here’s what we learned: 1/15
ROCKET 🚀 inference-time optimization of AlphaFold to fit structural data is published! rdcu.be/fa9YH Since our preprint, we’ve pushed it to regimes where other methods break: low resolution, weak signal, real experimental edge cases. Here’s what we learned: 1/15
2mo
2mo
2mo
2mo
With the convergence of data, computing power, and new methods, computational biology is at its most exciting moment. At PSI, we're asking the leading researchers in the field to discover where we're ...
www.buzzsprout.com
Episode 32 - Robert Best, Sonya Hanson, Xuhui Huang: Driving the Future of Biophysics. What’s Next in Theory and Computation? - Phase Space Invaders (ψ)
Nature Methods - ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray...
rdcu.be
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network
Nature Methods - ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray...
rdcu.be
Samuel Sledzieski
Alisia Fadini
Alisia Fadini
The conformational ensemble of a protein and its corresponding probabilities and dynamics are crucial determinants of its function, but are difficult …
www.sciencedirect.com
The landscape of machine learning approaches for modeling protein conformational ensembles