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Sarah Alamdari

@sarahalamdari

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

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18.11.2024
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Latest posts by Sarah Alamdari @sarahalamdari

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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...

New article from me and collaborators just dropped.

hbr.org/2026/03/peer...

03.03.2026 20:18 πŸ‘ 11 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0

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?

26.02.2026 21:58 πŸ‘ 4 πŸ” 5 πŸ’¬ 2 πŸ“Œ 0
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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.

25.02.2026 21:25 πŸ‘ 51 πŸ” 15 πŸ’¬ 1 πŸ“Œ 1
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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...

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.
πŸ“„ www.science.org/doi/10.1126/...
🌐 search.foldseek.com/foldmason
πŸ’Ύ github.com/steineggerla...

30.01.2026 06:11 πŸ‘ 300 πŸ” 147 πŸ’¬ 4 πŸ“Œ 3
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For no reason, I remembered today that I too once got to take a picture holding Nobel Prize that I didn't earn

16.01.2026 15:14 πŸ‘ 121 πŸ” 9 πŸ’¬ 2 πŸ“Œ 1

Never believe the fuckers who say "why bother, they already won"

03.12.2025 22:47 πŸ‘ 3987 πŸ” 1264 πŸ’¬ 16 πŸ“Œ 12

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

23.10.2025 14:24 πŸ‘ 9 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0

In Boston, every day is No Kings Day

18.10.2025 19:48 πŸ‘ 1958 πŸ” 345 πŸ’¬ 25 πŸ“Œ 13
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😍 Boston, you are beautiful. #NoKings

18.10.2025 17:22 πŸ‘ 51214 πŸ” 12372 πŸ’¬ 1031 πŸ“Œ 863
My linocut portrait of astronaut Mae Jemison in her flight suit, holding her helmet, with the globe of Earth above and to left.

My linocut portrait of astronaut Mae Jemison in her flight suit, holding her helmet, with the globe of Earth above and to left.

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! 🐑πŸ§ͺπŸ§‘πŸΎβ€πŸ”¬ #histsci She also has a B.S. in chemical engineering, 🧡1/n

17.10.2023 12:19 πŸ‘ 83 πŸ” 26 πŸ’¬ 2 πŸ“Œ 1

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 :)

24.09.2025 13:36 πŸ‘ 6 πŸ” 4 πŸ’¬ 0 πŸ“Œ 0
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."

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."

New review on computational design of intrinsically disordered proteins πŸ–₯️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & πŸ‘΄

doi.org/10.48550/arX...

17.09.2025 16:17 πŸ‘ 48 πŸ” 16 πŸ’¬ 0 πŸ“Œ 1
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Let’s be clear about what happened to Jimmy Kimmel Trump’s most brazen attack on free speech yet.

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.

18.09.2025 14:10 πŸ‘ 61831 πŸ” 19676 πŸ’¬ 2005 πŸ“Œ 917
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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

10.09.2025 08:24 πŸ‘ 8 πŸ” 3 πŸ’¬ 0 πŸ“Œ 0
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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...

03.09.2025 12:47 πŸ‘ 20 πŸ” 5 πŸ’¬ 0 πŸ“Œ 0

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

26.08.2025 08:38 πŸ‘ 6 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
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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...

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.

19.08.2025 17:19 πŸ‘ 6740 πŸ” 3446 πŸ’¬ 252 πŸ“Œ 235
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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

15.08.2025 17:44 πŸ‘ 22 πŸ” 6 πŸ’¬ 1 πŸ“Œ 0
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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...

(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)

[https://www.biorxiv.org/content/10.1101/2025.08.14.670328v2](www.biorxiv.org/content/10.1...)

15.08.2025 17:16 πŸ‘ 66 πŸ” 28 πŸ’¬ 2 πŸ“Œ 2
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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

12.08.2025 14:34 πŸ‘ 14 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0
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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 ...

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🧡

05.08.2025 06:29 πŸ‘ 97 πŸ” 43 πŸ’¬ 1 πŸ“Œ 1

I don’t want the NIH to be fucking profitable, I want it to cure cancer and Alzheimer’s

27.07.2025 20:40 πŸ‘ 5163 πŸ” 1072 πŸ’¬ 123 πŸ“Œ 30
Search Jobs | Microsoft Careers

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...

28.07.2025 17:26 πŸ‘ 90 πŸ” 49 πŸ’¬ 0 πŸ“Œ 3
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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.

25.07.2025 22:05 πŸ‘ 66 πŸ” 28 πŸ’¬ 3 πŸ“Œ 3
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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 β€œNo Kings” demonstration will look a little different, since the day o...

Join us along the #BostonPride parade route to celebrate the resistance of our LGBTQIA+ community in the face of tyranny.
βœŠπŸ³οΈβ€πŸŒˆπŸ³οΈβ€βš§οΈπŸ‡ΊπŸ‡Έ

#NoKings
#50501movement
@50501movement.bsky.social

www.boston.com/news/local-n...

12.06.2025 04:16 πŸ‘ 25 πŸ” 11 πŸ’¬ 3 πŸ“Œ 2
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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.

πŸ§ͺπŸ‘©β€πŸ”¬πŸ§¬πŸ₯½πŸŽ #politics

www.nytimes.com/interactive/...

04.06.2025 19:45 πŸ‘ 12 πŸ” 6 πŸ’¬ 1 πŸ“Œ 1
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Massive crowd at Boston’s city hall plaza for the #HandsOff protest against Trump and Musk

05.04.2025 18:01 πŸ‘ 18423 πŸ” 4114 πŸ’¬ 248 πŸ“Œ 296
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

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

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

01.04.2025 13:35 πŸ‘ 2575 πŸ” 481 πŸ’¬ 47 πŸ“Œ 47
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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

25.03.2025 17:55 πŸ‘ 71 πŸ” 17 πŸ’¬ 1 πŸ“Œ 1
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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.
πŸ“: rb.gy/de5axp

20.03.2025 15:02 πŸ‘ 85 πŸ” 25 πŸ’¬ 2 πŸ“Œ 2