Research scientist at Relation Therapeutics. Interested in what cells compute. (A little twitter shy, but any comments my own.)
Joined May 2013
- Tweets 488
- Following 417
- Followers 1,001
- Likes 690
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My team at Deepmind (protein design) is hiring an experimentalist with enzyme expertise. Please RT and/or apply! I'm happy to answer any questions as well. boards.greenhouse.io/deepmin…
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Sara-Jane Dunn retweeted
26 Mar 2024
Now with correct link to the job details!
26 Mar 2024
Available immediately a Postdoctoral Research Fellow to lead a programme of computational modelling and ‘omics analysis of the regulatory network dynamics of mammalian pluripotency, within Professor Austin Smith's Group.
jobs.exeter.ac.uk/hrpr_webre…
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Sara-Jane Dunn retweeted
27 Feb 2024
I had an incredible time chatting with @Avsecz, a brilliant mind at @GoogleDeepMind, for our Superbio.ai Scientist Spotlight series.
blog.superbio.ai/superbio-sc…
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Sara-Jane Dunn retweeted
17 Oct 2023
New scRNA-seq analysis platform from Arthur Radley
Branching topology of the human embryo transcriptome revealed by entropy sort feature weighting biorxiv.org/content/10.1101/…
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Sara-Jane Dunn retweeted
9 Oct 2023
We seek a Research Fellow in Computational Biology to join our team at the @unisouthampton . I would be happy to chat with anyone interested in the position about the role, project, or environment we create for you to work in. jobs.soton.ac.uk/2462523BJ
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Sara-Jane Dunn retweeted
22 Sep 2023
We're hiring a research scientist to join our Quantum Chemistry and Materials team ⚛️🚨
The team is working on using machine learning to better our understanding of the universe, down at the level of quantum physics.
See: deepmind.com/blog/simulating…
Share: boards.greenhouse.io/deepmin…
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Sara-Jane Dunn retweeted
11 Jan 2023
Check out this months issue tinyurl.com/vpc8hj76 a special edition on computational systems biology guest edited by @cahanLab & @TreutleinLab. The issue features articles by @morris_lab @EssJayD @OwenRackham @delSolLab & others. @ISSCR @martinperaJAX
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18 Oct 2022
Proud to see the work of an excellent PhD student, Arthur Radley, now published in @stemcellreports - a cool method to do feature selection in single cell data mitigating noise cell.com/stem-cell-reports/f… Work together with Austin Smith, Elena Corujo-Simon and Jenny Nichols
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Sara-Jane Dunn retweeted
4 Nov 2021
Thrilled to announce the launch of a new Alphabet company @IsomorphicLabs. Our mission is to reimagine the drug discovery process from first principles with an AI-first approach, to accelerate biomedical breakthroughs and find cures for diseases. Details: isomorphiclabs.com/blog
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Sara-Jane Dunn retweeted
4 Oct 2021
Happy to see Nature Methods publish our team’s work on using AI to improve prediction of how DNA sequence influences gene expression. Our first step in research on improving understanding of the fundamental building blocks of life.
4 Oct 2021
Published today in @naturemethods together with colleagues from @calico: Enformer - a transformer model that has led to greatly increased accuracy in predicting gene expression from DNA sequence.
Blog: dpmd.ai/enformer
Paper: dpmd.ai/naturemethods_enform… 1/
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Sara-Jane Dunn retweeted
22 Jul 2021
Big day for team #AlphaFold! The human proteome & the 20 organisms we are sharing today have been the subject of countless research papers & breakthroughs over time. By sharing this foundational resource, we hope to aid many more scientists in their work; present & future!
22 Jul 2021
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
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Sara-Jane Dunn retweeted
22 Jul 2021
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
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Sara-Jane Dunn retweeted
15 Jul 2021
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon!
bit.ly/alphafoldmethods
bit.ly/alphafoldgithub
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Sara-Jane Dunn retweeted
30 May 2021
🤖 Want to come join my lab @BristolBioSci as a Research Technician for 8-months and program our OT-2 robot for all things #synbio and @nanopore sequencing? Well, if you're a creative, synbio-curious Python programmer, here's your chance! Pls RT jobs.ac.uk/job/CGI583/specia…
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Sara-Jane Dunn retweeted
8 Jan 2021
Our perspective piece on Open Questions and Guiding Principles of Computational Stem Cell Biology, led by @cahanLab, with Davide Cacchiarelli, @EssJayD, @m_hemberg, Susana Chuva de Sousa Lopes, @OwenRackham, Antonio del Sol, and
@mincle
8 Jan 2021
How is Computational Biology transforming our understanding of stem cells and development? Check out tinyurl.com/y24uq8ka @CellStemCell, where we discuss the state of the field, open challenges and opportunities, and principles to guide future efforts.
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Sara-Jane Dunn retweeted
6 Jan 2021
3 Data analysts urgently needed to help our KCL ZOE team with #Longcovid research w skills in big data, epidemiology, genetics, omics - look on jobs.ac.uk or contact @DrClaireSteves . We have plenty of data - need the skilled people to turn them into discoveries.
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Sara-Jane Dunn retweeted
29 Dec 2020
I went to a DARPA robotics challenge in 2015 & the robots could barely walk in a line without falling over. And now...
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Sara-Jane Dunn retweeted
15 Dec 2020
Do you have a Physics, Maths or Computational Sciences background, and an interest in applying your knowledge to stem cell biology?
Applications are open for our @The_MRC funded 'Physical Biology of Stem Cells' PhD Studentship. Deadline 7th Jan.
stemcells.cam.ac.uk/join-us/…
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Sara-Jane Dunn retweeted
30 Nov 2020
In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)
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Sara-Jane Dunn retweeted
11 Nov 2020
We are recruiting new Group Leaders and welcome applications from across all of stem cell biology, including:
i Cardiovascular disease & Epithelial tissues
ii Computational Biology
iii Cell and Gene therapy
iv Ageing
More here: jobs.cam.ac.uk/job/27259/
Closing Date: 29 Nov 2020
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