Qiwei Yu (@qiweiyu2) 's Twitter Profile
Qiwei Yu

@qiweiyu2

PhD candidate @Princeton | statistical mechanics & theoretical biophysics | Harold W. Dodds Fellow | previously @IBMResearch @PKU1898 @Rice_BIOE @RiceNatSci

ID: 1156975910089678849

linkhttps://qiweiyuu.github.io/ calendar_today01-08-2019 17:12:07

113 Tweet

436 Followers

674 Following

Matt Leighton (@mattleighton5) 's Twitter Profile Photo

Now out in Annual Reviews of Physical Chemistry: David Sivak and I review recent work studying flows of free energy into, out of, and within molecular machines. These nanoscale protein machines convert energy within cells of all living organisms with remarkable efficiencies.

Now out in <a href="/AnnualReviews/">Annual Reviews</a> of Physical Chemistry: <a href="/DavidASivak/">David Sivak</a> and I review recent work studying flows of free energy into, out of, and within molecular machines. These nanoscale protein machines convert energy within cells of all living organisms with remarkable efficiencies.
Christopher W. Lynn (@chriswlynn) 's Twitter Profile Photo

When constructing models of the world, we aim for good compressions: models that are as accurate as possible with as few details as possible. But which details should we include in a model? An answer lies in the "minimax entropy" principle 👇 arxiv.org/abs/2505.01607

When constructing models of the world, we aim for good compressions: models that are as accurate as possible with as few details as possible. But which details should we include in a model?

An answer lies in the "minimax entropy" principle 👇
arxiv.org/abs/2505.01607
Physical Review E (@physreve) 's Twitter Profile Photo

A minimax entropy model accurately predicts large-scale neural activity in the data from over 1,000 mouse #neurons, demonstrating that a large amount of information can be compressed into a small number of correlations. Check it out: go.aps.org/43jOIfI

A minimax entropy model accurately predicts large-scale neural activity in the data from over 1,000 mouse #neurons, demonstrating that a large amount of information can be compressed into a small number of correlations.

Check it out: go.aps.org/43jOIfI
Christopher W. Lynn (@chriswlynn) 's Twitter Profile Photo

Attacking Chinese students who work in “critical fields” while completely defunding those fields is the height of hypocrisy

David Sivak (@davidasivak) 's Twitter Profile Photo

Postdoc opportunity! Join us in heavenly Vancouver (Canada) to develop fundamental nonequilibrium stat mech, thermo, and info theory applied to biomolecular machines and in close collaboration with experiment. Details: sfu.ca/physics/sivakg…

APS Division of Biological Physics (@apsdbio) 's Twitter Profile Photo

Science is built on public trust, federal funding, and academic freedom. All of these are currently being eroded, but what can we do? Join us for an online panel on "Being a Voice for Science" (June 11, 2-3pm ET). Info and registration: engage.aps.org/dbio/resources…

Christopher W. Lynn (@chriswlynn) 's Twitter Profile Photo

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

Biology consumes energy at the microscale to power functions across all scales: From proteins and cells to entire populations of animals.

Led by <a href="/QiweiYu2/">Qiwei Yu</a> and <a href="/MattLeighton5/">Matt Leighton</a>, we study how coarse-graining can help to bridge this gap 👇🧵

arxiv.org/abs/2506.01909
Omenn-Darling Bioengineering Institute (@omenndarlingbio) 's Twitter Profile Photo

Now on the Princeton Engineering and ODBI sites, a new mapping tool that allows researchers to peer deep into cells' inner compartments to watch and control ribosome assembly, shedding new light on the machinery responsible for making proteins.

Now on the Princeton Engineering and ODBI sites, a new mapping tool that allows researchers to peer deep into cells' inner compartments to watch and control ribosome assembly, shedding new light on the machinery responsible for making proteins.
Omenn-Darling Bioengineering Institute (@omenndarlingbio) 's Twitter Profile Photo

Led by Sofia Quinodoz and Lifei Jiang of brangwynnelab, this work opens the door to new treatments and medicines. 📷 Members of the research team, from left: Anita Donlic, Aya Abu-Alfa, Jordy Botello, Qiwei Yu, Quinodoz, Lennard Wiesner, Cliff Brangwynne, Jiang, Troy Comi.

Led by Sofia Quinodoz and Lifei Jiang of <a href="/brangwynnelab/">brangwynnelab</a>, this work opens the door to new treatments and medicines. 
📷
Members of the research team, from left: Anita Donlic, Aya Abu-Alfa, Jordy Botello, Qiwei Yu, Quinodoz, Lennard Wiesner, Cliff Brangwynne, Jiang, Troy Comi.
brangwynnelab (@brangwynnelab) 's Twitter Profile Photo

Excited that our nucleolus mapping paper just came out today in Nature! Truly an amazing study from even more amazing due of Sofi Quinodoz & Lifei jiang w/ Denis LJ Lafontaine & Sebastian Klinge and other fantastic co-authors nature.com/articles/s4158…

Hongbo Zhao (@hbozhao) 's Twitter Profile Photo

Our tour de force into the nucleolar world — a stunning exploration of spatial organization and the functional choreography of ribosome biogenesis now out in Nature✨ tinyurl.com/5n7jk3uz Led by Sofi Quinodoz, Lifei jiang, brangwynnelab, with theory partners Qiwei Yu,