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Krishnaswamy Lab
@KrishnaswamyLab
We develop data deep learning methods containing geometric, topological, dynamic systems-based constructs for discovery from scientific and biomedical data.
Yale University
Joined February 2017
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    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 🥳🎉🧪 nature.com/articles/s4158… (1/16)
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    All materials from our Machine Learning for Single Cell Analysis workshop (January 2021) are available freely online now, including the lectures. Everything can be found at krishnaswamylab.org/workshop (including a link to the lectures on youtube youtube.com/playlist?list=…) !
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    Happy to share that the board of permanent officers both of @YaleMed and @Yale FAS have approved my tenure starting today. Honored to be one of the very few people tenured by both units. Glad to be a fully joint associate professor in @YaleCompsci and @YaleGenetics !!
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    We made the cover!! Check out multiscale phate in this issue!!
    The May issue is live nature.com/nbt/volumes/40… On our cover, disease signatures in high-dimensional biomedical data are detected with a visualization algorithm go.nature.com/3K0QCqi
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    Comp bio folks: can we all start to put our method in the "Results" section? I am reviewing a paper whose contribution is a beautiful method ... that you have to excavate from supplementary information. My first Result section in every paper I wrote is the method. It works!
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    Excited that PHATE, our dimensionality reduction and #dataviz method, is out today in @NatureBiotech! Congrats Kevin Moon, @david_van_dijk, @scottgigante and @mrguywolf. #tweetorial coming soon!
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    (1/10)Pleased to share that our work on leveraging deep transformer-based representation learning for protein sequence optimization is out today in @NatMachIntell ! nature.com/articles/s4225…
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    Honored to receive the NSF CAREER Award for our proposal: "Deep representation learning for exploration and inference in biomedical data." Thanks to the entire lab for the great work!
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    TWEETORIAL: PHATE, our dimensionality reduction and #dataviz method featured on the cover of today’s @NatureBiotech! To help spread the word, @scottgigante and @dbburkhardt put together this #tweetorial for you. nature.com/articles/s4158… (1/10)
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    (1/n) Today I'm proud to present our work on learning dynamics in cancer using neural ODEs and optimal transport!
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    Honored to receive this award and be listed alongside amazing scientists Arlene Sharpe and @SalliePermar !
    Congrats to Smita Krishnaswamy for winning the Excellence in Science Award Early-Career Investigator Award from the FASB! The award recognizes the research, teaching and community efforts she has made in the scientific community: seas.yale.edu/news-events/ne…
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    (1/n) Excited to share our work on gene signal pattern analysis (GSPA), an new way of analyzing gene expression over cellular manifolds! Out today!
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    Some perspective for scientists who may be asked to review computational methods: Computational methods are indeed innovated by taking existing mathematical and algorithmic atoms and putting them together in a novel way. Second, small changes in the steps can have a large