
Krishnaswamy Lab
@KrishnaswamyLab
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We develop data geometric, topological, dynamic, deep learning methods for analysis, visualization and representation of big data, especially biomedical data.
Yale University
Joined February 2017
Today, I’m proud to share our latest work published in @NatureBiotech describing MELD, a #MachineLearning algorithm for #SingleCell perturbation analysis. Read this #tweetorial to learn about the work led by @dbburkhardt and Jay Stanley 🥳🎉🧪. (1/16).
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RT @YaleMed: A multinational team co-led by @KrishnaswamyLab has developed and tested a new #AI tool that can better characterize individua….
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RT @ElizSMcKenna: Now online in @CD_AACR: AAnet Resolves a Continuum of Spatially-Localized Cell States to Unveil Intratumoral Heterogeneit….
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RT @genophoria: Preprint drop from our team at @arcinstitute! Introducing STATE: a model that learns and predicts transcriptomic responses….
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AI in the air at @AIXBIO, presented on our Immunostruct and Cellspicenet models as well as @emblebi on cellular dynamics. Thanks for hosting @e_petsalaki ! Nice also to see @AIXBIO organizers @mo_lotfollahi @deboramarks @mariabrbic !
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Glad to be (briefly) @Mila_Quebec again for MOML Thanks for organizing @dom_beaini and colleagues!
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RT @AlexanderTong7: So excited to share our new paper, FORT! 🎉 We're showing a simple regression approach to train discrete normalizing flo….
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RT @KavliAtYale: Mark your calendars 🗓️ for June 23 for a @KavliAtYale Awards Research in Progress!🧠. Hear from awardees @dbhaskar92, @LaSh….
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RT @valence_ai: 1/ Introducing TxPert: a new model that predicts transcriptional responses across diverse biological contexts . It’s design….
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RT @YaleEngineering: Transforming ordinary wood into an extraordinary innovation!.Proud to highlight Yale Engineering's Prof. Liangbing Hu,….
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Very excited!!.
It's almost time for #GSP2025 ⏱️🥳. We're super excited to host you at @Mila_Quebec this coming Wednesday, 14th May! Hope those posters are coming along 😉. 👉🏻 FYI: Registrations are still open, so we encourage you to visit our website for details:
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RT @ozalabCP: A really neat read while I wait bedside @StanfordChild for my daughter to receive a heart ♥️ transplant. Seeing the active re….
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@YNHH @RameshkBatra (8/n) I also want to thanks the @YNHH for the Innovation award we received to pursue this work! For code please see: Thanks for reading!.
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(7/n) We could not have done this study without valuable data from @YNHH and careful guidance of transplant surgeon @RameshkBatra! We trained the model on a cohort of 3,238 and validated on an external cohort of 1,908 patients from six hospitals across Connecticut!.
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