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Sarah Alamdari

@sarahalamdari.bsky.social
664 followers 271 following 4 posts

Senior Applied Scientist @ MSR // AI, molecular dynamics, protein design, and some sillyness 🧬 (she/her)

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Reposted by Sarah Alamdari
Brian Hie @brianhie.bsky.social · 14/08/2026
Our work led by Talal Widatalla on aligning protein generative models to experimental fitness with ProteinDPO is now published in @natmethods.nature.com! New in the published paper includes stabilizing mutations to H5 hemagglutinin, a component of flu vaccines. www.nature.com/articles/s41...
nature.com
Aligning protein-generative models to experimental fitness with ProteinDPO - Nature Methods
This Article demonstrates that direct preference optimization (DPO) can be used to effectively align an unsupervised structure-conditioned language model with biophysical information. The aligned mode...
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Boston Protein Design and Modeling Club @bpdmc.org · 06/07/2026
I hope everyone had a great 4th of July, and we've got a great seminar for you this week by James Roney from @sokrypton.org's lab! Join us this Wednesday, July 8th 2026 at 7pm EDT in Room 181, Building 68, @mit.edu "Energy-Based Models of Protein Structure, Dynamics, and Folding" bpdmc.org
bpdmc.org
schedule
introduction and membership Boston Protein Design and Modeling Club (BPDMC) is a community of computational protein engineers and modelers from both academia and industry. While we are based in Boston...
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Alexis Verger 🧬🧫🧪 @alexis-verger.cpesr.fr · 21/04/2026
[Review] Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design by @kosonocky.bsky.social @sarahalamdari.bsky.social @kevinkaichuang.bsky.social & @avapamini.bsky.social www.sciencedirect.com/science/arti...
sciencedirect.com
Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design
Artificial intelligence (AI) has reshaped protein design by enabling models trained on large-scale sequence and structure data to generate proteins wi…
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Clay Kosonocky @kosonocky.bsky.social · 21/04/2026
Have you wondered what the wet lab success rates are for current AI-driven protein design models? Look no further! In our new review, @kevinkaichuang.bsky.social @avapamini.bsky.social, @sarahalamdari.bsky.social, and I report wet lab success rates for *over 200* different protein design tasks 🧬💻
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Nancy Baym @nancybaym.bsky.social · 03/03/2026
New article from me and collaborators just dropped. hbr.org/2026/03/peer...
hbr.org
Peer Influence Can Make or Break Your AI Rollout
AI adoption stalls not because of weak tools or insufficient training, but because learning remains invisible. Generative AI requires employees to redesign their own workflows, and in uncertain enviro...
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Christian Dallago @machine.learning.bio · 26/02/2026
Five years ago, we released FLIP. The core question was: can ML models for protein fitness prediction generalize in the ways that actually matter for protein engineering, i.e. low data, extrapolation to more mutations, out-of-distribution sequences?
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 25/02/2026
We made FLIP2, a protein fitness benchmark spanning seven new datasets, including enzymes, protein-protein interactions, and light-sensitive proteins, as well as splits that measure generalization relevant to real-world protein engineering campaigns.
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Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 30/01/2026
FoldMason is out now in @science.org. It generates accurate multiple structure alignments for thousands of protein structures in seconds. Great work by Cameron L. M. Gilchrist and @milot.bsky.social. 📄 www.science.org/doi/10.1126/... 🌐 search.foldseek.com/foldmason 💾 github.com/steineggerla...
science.org
Multiple protein structure alignment at scale with FoldMason
Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended ou...
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 16/01/2026
For no reason, I remembered today that I too once got to take a picture holding Nobel Prize that I didn't earn
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Mike Chen @mikechenwriter.bsky.social · 03/12/2025
Never believe the fuckers who say "why bother, they already won"
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Stephanie Wankowicz @stephanieaw.bsky.social · 23/10/2025
Updated preprint on the roadmap to predicting macromolecular ensembles with @bonomimax.bsky.social! Four key issues: 1) Structural ensembles are defined inconsistently across disciplines. 2) No single experimental technique alone can fully capture structural ensembles arxiv.org/abs/2505.01919
arxiv.org
From Possibility to Precision in Macromolecular Ensemble Prediction
Proteins and other macromolecules exist not in a single state but as dynamic ensembles of interconverting conformations, which are essential for catalysis, allosteric regulation, and molecular recogni...
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Michelle Wu 吳弭 @wutrain.bsky.social · 18/10/2025
In Boston, every day is No Kings Day
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Indivisible ❌👑 @indivisible.org · 18/10/2025
😍 Boston, you are beautiful. #NoKings
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Ele Willoughby @minouette.bsky.social · 17/10/2023
Happy birthday to American astronaut Mae Carol Jemison (born October 17, 1956), a physician who became the first Black woman to travel in space when she went into orbit aboard the Space Shuttle Endeavour for NASA, on September 12, 1992! 🐡🧪🧑🏾‍🔬 #histsci She also has a B.S. in chemical engineering, 🧵1/n
My linocut portrait of astronaut Mae Jemison in her flight suit, holding her helmet, with the globe of Earth above and to left.
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Jose Jimenez-Luna @jjimenezluna.bsky.social · 24/09/2025
Want to join the BioEmu team at MSR AI for Science? We have multiple intern (jobs.careers.microsoft.com/global/en/jo...) and one fixed-term postdoc (jobs.careers.microsoft.com/global/en/jo... positions available! Please share with potential candidates :)
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 17/09/2025
New review on computational design of intrinsically disordered proteins 🖥️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & 👴 doi.org/10.48550/arX...
Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."
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Barack Obama @barackobama.bsky.social · 18/09/2025
After years of complaining about cancel culture, the current administration has taken it to a new and dangerous level by routinely threatening regulatory action against media companies unless they muzzle or fire reporters and commentators it doesn’t like.
yahoo.com
Let’s be clear about what happened to Jimmy Kimmel
Trump’s most brazen attack on free speech yet.
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Rocío Mercado Oropeza @rociomer.bsky.social · 10/09/2025
Tomorrow we're excited to host @sarahalamdari.bsky.social at Chalmers for the AI4Science seminar and hear about generative models for protein design! Talk at 3pm CEST. 🤩 For more info, including details on how to join virtually, please see psolsson.github.io/AI4ScienceSe... @smnlssn.bsky.social
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 03/09/2025
A compelling review of how ML/AI could help in the quest to find an enzyme for every reaction. @jsunn-y.bsky.social @francescazfl.bsky.social Yueming Long @francesarnold.bsky.social www.cell.com/cell-systems...
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Rocío Mercado Oropeza @rociomer.bsky.social · 26/08/2025
Join us this fall for the Chalmers AI4Science seminar series with this amazing line-up of speakers! All seminars held on-campus at Chalmers and streamed over Zoom. See psolsson.github.io/AI4ScienceSe... for details! Speakers: @sarahalamdari.bsky.social @micheleceriotti.bsky.social & Prashant Singh
psolsson.github.io
AI and Machine Learning in the Natural Sciences | AI4ScienceSeminar
A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.
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WIRED @wired.com · 19/08/2025
A United States Senate investigation has identified more than 500 credible reports of human rights abuses in US immigration detention since January, including alarming allegations of mistreatment of pregnant women and children.
wired.com
Senate Probe Uncovers Allegations of Widespread Abuse in ICE Custody
Led by US senator Jon Ossoff, the investigation cites hundreds of reports since January, including accounts of miscarriages, child neglect, and sexual abuse at ICE detention centers in dozens of state...
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Kieran Didi @kdidi.bsky.social · 15/08/2025
AtomWorks is out! Building upon @biotite_python, we built a toolkit for all things biomolecules and trained RF3 with it. All open-source, test it via `pip install atomworks`! AtomWorks: github.com/RosettaCommo... RF3: github.com/RosettaCommo... Paper: tinyurl.com/y2w4z65b 1/6
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Nate Corley @ncorley.bsky.social · 15/08/2025
(1/7) Training biomolecular foundation models shouldn't be so hard. And open-source structure prediction is important. So today we're releasing two software packages: AtomWorks and RosettaFold3 (RF3) [www.biorxiv.org/content/10.1101/202…...)
biorxiv.org
Accelerating Biomolecular Modeling with AtomWorks and RF3
Deep learning methods trained on protein structure databases have revolutionized biomolecular structure prediction, but developing and training new models remains a considerable challenge. To facilita...
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 12/08/2025
The @uwproteindesign.bsky.social's experimental pipeline behind models like RFdiffusion and ProteinMPNN: - A rapid, scalable, pipeline for producing and characterizing proteins - A demultiplexing protocol for converting oligopools to clonal constructs Jason Qian @lfmilles.bsky.social Basile Wicky
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Yo Akiyama @yoakiyama.bsky.social · 05/08/2025
Excited to share work with Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org biorxiv.org/content/10.1... TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
biorxiv.org
Scaling down protein language modeling with MSA Pairformer
Recent efforts in protein language modeling have focused on scaling single-sequence models and their training data, requiring vast compute resources that limit accessibility. Although models that use ...
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Laura Bassett @lebassett.bsky.social · 27/07/2025
I don’t want the NIH to be fucking profitable, I want it to cure cancer and Alzheimer’s
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Nancy Baym @nancybaym.bsky.social · 28/07/2025
We may have the chance to hire an outstanding researcher 3+ years post PhD to join Tarleton Gillespie, Mary Gray and me in Cambridge MA bringing critical sociotechnical perspectives to bear on new technologies. jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com
Search Jobs | Microsoft Careers
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 25/07/2025
In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known. Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.
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Mass50501 @mass50501.bsky.social · 12/06/2025
Join us along the #BostonPride parade route to celebrate the resistance of our LGBTQIA+ community in the face of tyranny. ✊🏳️‍🌈🏳️‍⚧️🇺🇸 #NoKings #50501movement @50501movement.bsky.social www.boston.com/news/local-n...
boston.com
A 'No Kings' demonstration and Boston's Pride Parade are both planned for Saturday. What to know.
Protests against President Donald Trump and his administration are planned nationwide Saturday, but in Boston, organizers say the “No Kings” demonstration will look a little different, since the day o...
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Dr. Marissa Civic @stemfactually.com · 04/06/2025
🧪👩‍🔬🧬🥽🍎 #politics www.nytimes.com/interactive/...
nytimes.com
Here Are the Nearly 2,500 Medical Research Grants Canceled or Delayed by Trump (Gift Article)
Some cuts have been starkly visible, but the country’s medical grant-making machinery has also radically transformed outside the public eye.
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WuTangIsForTheChildren @wutangforchildren.bsky.social · 05/04/2025
Massive crowd at Boston’s city hall plaza for the #HandsOff protest against Trump and Musk
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Danielle Johnson @dwhren.bsky.social · 01/04/2025
I accidentally discovered that there is a weird magnetic spot on my laptop that will make a paperclip stand up, so I had to add googly eyes and make my own personal Clippy
A large paper clip with googly eyes glued to it. It’s standing up next to the track pad on a laptop due to magic aka magnetic forces
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Kresten Lindorff-Larsen @lindorfflarsen.bsky.social · 25/03/2025
Our paper on prediction of phase-separation propensities of disordered proteins from sequence is now published: www.pnas.org/doi/10.1073/... The paper has been substantially updated compared to the preprint including new experimental data and using the neural network to finetune CALVADOS. 1/n
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Hannah Wayment-Steele @hkws.bsky.social · 20/03/2025
Protein dynamics was the first research to enchant me >10yrs ago, but I left in PhD bc I couldn't find big experimental data to evaluate models. Today w @ginaelnesr.bsky.social, I'm thrilled to share the big dynamics data I've been dreaming of, and the mdl we trained w them: Dyna-1. 📝: rb.gy/de5axp
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 05/03/2025
Use reward-guided generation and iterative refinement to steer the proteins generated from EvoDiff! arxiv.org/abs/2502.14944
method summary
results summary
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Alisia Fadini @alisiafadini.bsky.social · 24/02/2025
Structural biology is in an era of dynamics & assemblies but turning raw experimental data into atomic models at scale remains challenging. @minhuanli.bsky.social and I present ROCKET🚀: an AlphaFold augmentation that integrates crystallographic and cryoEM/ET data with room for more! 1/14.
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briantrippe.bsky.social @briantrippe.bsky.social · 19/02/2025
🔥 Benchmark Alert! MotifBench sets a new standard for evaluating protein design methods in motif scaffolding. Why does this matter? Reproducibility & fair comparison have been lacking—until now. Paper: arxiv.org/abs/2502.12479 | Repo: github.com/blt2114/Moti... A thread ⬇️
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pdhsu.bsky.social @pdhsu.bsky.social · 19/02/2025
AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, @arcinstitute.org in collaboration with Nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life.
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Tristan Bepler @tbepler.bsky.social · 11/02/2025
Excited to share PoET-2, our next breakthrough in protein language modeling. It represents a fundamental shift in how AI learns from evolutionary sequences. 🧵 1/13
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Meng-meng Fu @mengmengfu.bsky.social · 24/01/2025
If you’re a federal govt employee targeted for leave or termination on the basis of your DEI work, please file an EEO (Equal Employment Opportunity) complaint & retain legal counsel. I’m a former NIH PI. Happy to refer you to a law firm that has successfully sued the govt many times! Pls repost 🙏❤️
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alex jaffe @alexjaf.bsky.social · 22/01/2025
wonderful to see this tremendous piece work finally out, from @prywes.bsky.social et al. www.nature.com/articles/s41...
nature.com
A map of the rubisco biochemical landscape - Nature
A massively parallel assay developed to map the essential photosynthetic enzyme rubisco showed that non-trivial biochemical changes and improvements in CO2 affinity are possible, signposting further e...
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Amanda Gorman @amandagorman.bsky.social · 20/01/2025
Four years ago I wrote my inaugural poem The Hill We Climb. Both when I wrote it and performed it, I did so while continuously reflecting on Dr. Martin Luther King Jr and Coretta Scott King’s legacy.
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Possu Huang Lab @possuhuanglab.bsky.social · 15/01/2025
New preprint from our group! We propose SHAPES, a set of metrics to quantify the distributional coverage of generative models of protein structures with embeddings at different structural hierarchies and quantify undersampling / extrapolation behaviors.
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Derek Thompson @dkthomp.bsky.social · 21/12/2024
People sometimes make fun of science that sounds stupid and random. Meanwhile, a study of lizard saliva turned into a peptide medication, which was turned into a diabetes medication, which was turned into a GLP1 weight loss drug, that just became the first therapy every approved for … sleep apnea
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Nancy Baym @nancybaym.bsky.social · 18/12/2024
It’s that magical time of the year when researchers across Microsoft release our collective effort to summarize the state of knowledge regarding AI and the New Future of Work. Here ya go: aka.ms/nfw2024
aka.ms
Microsoft New Future of Work Report 2024 - Microsoft Research
As Microsoft approaches its 50th anniversary, the landscape of work continues to evolve at an unprecedented pace. The past year has marked a pivotal shift, moving from predictions and controlled lab s...
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Prof. Natalie Fey @nataliefeynls.bsky.social · 18/12/2024
I really think that MSOffice software should make allowances for the use of :wq #CompChemSky
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Noelia Ferruz @noeliaferruz.bsky.social · 18/12/2024
Protein language models excel at generating functional yet remarkably diverse artificial sequences. They however fail to naturally sample rare datapoints, like very high activities. In our new preprint, we show that RL can solve this without the need for additional data: arxiv.org/abs/2412.12979
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Lorin Crawford @lcrawford.bsky.social · 18/12/2024
In our newest preprint, we show that simply increasing the size of pre-training datasets doesn't necessarily improve the performance of single-cell foundation models on downstream tasks. Really proud of @alandenadel.bsky.social for leading this effort! See his thread below for more details👇
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Joanna Masel @joannamasel.bsky.social · 12/12/2024
We identified protein domains in LUCA (Last Universal Common Ancestor). Their distinctive amino acid usage reveals the order amino acids were added to the genetic code, based mostly on size. Older proteins hint at earlier alternative codes. 1/15 @seekingluca.bsky.social www.pnas.org/doi/10.1073/...
pnas.org
Order of amino acid recruitment into the genetic code resolved by last universal common ancestor’s protein domains | PNAS
The current “consensus” order in which amino acids were added to the genetic code is based on potentially biased criteria, such as the absence of s...
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