
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 @AI_for_Science: Pitch the dataset that could spark the next AI for Science revolution 🚀.The PDB revolutionized structural biology (and….
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RT @Pseudomanifold: #MachineLearning loves data. #Topology loves shape. Let's bring them together!. 👉The Euler Characteristic Transform (E….
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RT @OpenAI: Introducing OpenAI o3 and o4-mini—our smartest and most capable models to date. For the first time, our reasoning models can a….
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So proud of @dbhaskar92 --former postdoc of our lab! Can't wait to see what he does!!.
(1/2) Thrilled to share that I’m joining @UWMadison_BME as a tenure-track Assistant Professor starting today!. Endlessly grateful to my mentors, friends, and family - I wouldn’t be here without your support 🙏. Excited for what lies ahead!.#NewFaculty #UWBadgers.
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Here is the corrected link! Sorry for the problem before.
docs.google.com
Cancer Cell State Trajectories and Heterogeneity Across Space and Time Harnessing single-cell data and advanced machine learning techniques to unravel the dynamic landscape of cancer cell states and...
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A bit late, but excited to announce our new paper, "Defining and benchmarking open problems in single-cell analysis," a joint effort led by our team (@scottgigante, @DBBurkhardt ) at @Yale and the @fabian_theis and @MDLuecken at Helmholtz! 🚀. **Open Problems**, is a living,.
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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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