Qiwei Yu

@qiweiyu.bsky.social

LITP Fellow @Stanford | PhD in Biophysics from Princeton Previously @flatironinstitute @IBMResearch @Peking University @Rice University https://qiweiyuu.github.io/

We have postdoc openings for data-driven modeling and information flows in living systems, with a focus on embryonic development. mattiaserra.com Requirements: PhD in Physics, Applied Math, or similar; prior exposure to biological data preferred. Please share with potential candidates. Thank you!

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Excited to share our latest preprint on pattern formation in chemotactic active matter 🌊 arxiv.org/abs/2603.02595 Led by Hongbo Zhao and jointly with Sujit Datta and Andrej Košmrlj. We combined an arsenal of analytical and numerical tools to study these amazing patterns due to MIPS and chemotaxis 🌀

For the 2026 APS March Meeting, please consider submitting your abstract to our new focus session on Cellular Sensing and Signaling (04.01.29), which aims to bridge theory and experiments to understand how cells sense and respond to environmental signals.

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📸 Image of the month: August! This month we are excited to feature “𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐥𝐢𝐩𝐢𝐝 𝐝𝐨𝐦𝐚𝐢𝐧𝐬 𝐢𝐧 𝐛𝐢𝐥𝐚𝐲𝐞𝐫 𝐦𝐞𝐦𝐛𝐫𝐚𝐧𝐞𝐬” by Yu et al. Learn more about their exciting research here: qiweiyuu.github.io 🔗 (paper): doi.org/10.1039/D5SM... (1/4)

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Living systems operate nonequilibrium processes across many scales in space and time. Is there a model-free way to bridge the descriptions at different levels of coarse-graining? Here we find that preserving the evidence of time-reversal symmetry breaking works remarkably well!

Christopher W. Lynn@chriswlynn.bsky.social · last yr.

Biology consumes energy at the microscale to power functions across all scales: From proteins and cells to entire populations of animals. Led by @qiweiyu.bsky.social‬ and @mleighton.bsky.social‬, we study how coarse-graining can help to bridge this gap 👇🧵 arxiv.org/abs/2506.01909