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Diego Oyarzún
@doyarzunrod
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Systems & Synthetic Biology | Control Theory | Applied Mathematics
Edinburgh, Scotland
Joined April 2015
📢In our new paper @NAR_Open we take a fresh look at #ai and #machinelearning models of protein expression in #synbio Take home: In the age of ultra-large biological model and data, mechanisms still matter and can improve predictivity. @987Yuxinshen
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💫New work from our lab 🔬Learning from mistakes in synthetic biology We show that data from failed designs can be re-used to learn model uncertainty and select new designs that work better. #synbio #machinelearning #ML #engineeringbiology
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RT @GeorgKus: We have a couple of Postdoc openings in our proteomics lab, to study protein synthesis and degradation kinetics using pulse-S…
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📢New preprint from our lab Self-supervised learning for fluxomic data preserves structure across cell types @cjmerzbacher @ancAtEd
#sysbio #synbio #ML #metabolicmodelling #cobrapy
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📢📢 One week to apply for this 5yr postdoc role in my lab. We're looking for a wide range of candidates, from biologists with hands on experience in #machinelearning to machine learners interested in cutting-edge challenges in biotech
☀️I'm recruiting 2+3 year postdoc @InfAtEd, part of the #CYBER consortium led by @chofski Join us in wonderful #Edinburgh and build #AI & #machinelearning models for #syntheticbiology More info Apply here
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☀️I'm recruiting 2+3 year postdoc @InfAtEd, part of the #CYBER consortium led by @chofski Join us in wonderful #Edinburgh and build #AI & #machinelearning models for #syntheticbiology More info Apply here
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Very excited about this project! We'll be recruiting very soon for a postdoc at @InfAtEd on #AI and #MachineLearning for strain design. Beautiful science. Gorgeous city. Incredible team. Email or DM me asap for more details.
#CYBER is hiring🚨. Ever wanted to use #synbio to engineer cynaobacteria for environmental clean-up? Then join us! Postdoc positions in #engbio🧬, #ai🤖, #ecology🌳 and #biosecurity🔒 teams across Bristol, Newcastle and Edinburgh with unique training ops.
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📢new preprint from our lab: Multiscale pathway simulation coupled with host metabolism. It combines genome-scale, kinetic and #MachineLearning models. Fab work by @cjmerzbacher with @oisinmacaodha
#syntheticbiology #AI #Bioinformatics
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RT @KevinKaichuang: Features derived from AF2 structures can predict in-vivo protein properties and phylogenetics. @mjstam @doyarzunrod @…
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RT @ChrisWellsWood: Read our preprint and/or take a look at @mjstam's excellent thread to find out more. Thanks to Michael for all his hard…
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📢New paper just out - graph neural nets for predicting gene essentiality. We figured out a way to integrate GNNs with genome-scale metabolic models, using graph attention and flow-based node features. #synbio #metabolism #MachineLearning
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Fantastic community-wide work in @naturemethods on the pitfalls of machine learning metrics for medical image analysis A lot to unpack there, and many lessons for the #AI #synbio community, too
🎉🥳What a great day to see the hard work of a whole team of people from all over the world coming together over ~3 years of work to write 2 seminal for the field articles in @naturemethods. Impossible without @lena_maierhein and her team coordinating 50+ academic groups.
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📢Another new preprint in #AI #synbio: Mechanistic DNA features can improve generalization power of sequence-to-expression models We built a graph neural net to blend domain-agnostic and domain-aware features in a single model Congrats @987Yuxinshen!
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📢 Preprint alert for #synbio #AI #automation folk: We got >2x yield increase for a complex lipopeptide with active learning, gaussian processes and metabolomics readouts. Fabulous work by @rvalenciaaz and led by the one and only @soreearskid
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Only two weeks to apply for our Faculty posts in Biomedical #AI at @InfAtEd: 1) Translational Drug Discovery (contact @doyarzunrod) 2) Digital Health and Care (contact @KiaNazarpour) 3) Imaging and Diagnostics (contact @sramamoorthy ) Apply by 15 Dec
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RT @tisimpson: UKRI announces funding for three new CDTs in artificial intelligence led, or co-led by the School of Informatics https://t.c…
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☀️More exciting opportunities at @InfAtEd Faculty post in #machinelearning for #drugdiscovery joint with @EdinUni_IGC More info Deadline 15 December #HealthTech #chemoinformatics #AI #synbio @ancAtEd
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Job alert📢 We are recruiting for 4 year postdoc fellowships. Up to 3 posts available. If you want to dive into quantitive biomedicine using cutting-edge models and data, this is the place for you. @ancAtEd @SBSatEd @EdEngBio #ai #machinelearning #synbio
Application for our next cohort of cross-disciplinary fellows is now open- please share this great fellowship opportunity @MRC_Recruitment @CVRinfo @InfAtEd @PhysAstroEd @UoMPhysics @AnonSciCar @UCLmedphys @PhysicsNews @EdinUniMaths @EdinUniMedicine
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