Smita Krishnaswamy
Associate Professor
Madison, United States
Summary
👤
Senior🎓
Top SchoolSmita Krishnaswamy is an Associate Professor of Computer Science and Genetics at Yale who develops machine learning and manifold-learning tools for high-dimensional biological data, with eight years of faculty experience and prior postdoctoral training in systems biology at Columbia. Her lab has produced widely used methods such as MAGIC for scRNA-seq denoising, PHATE for revealing complex progression and cluster structure in high-dimensional datasets, and SAUCIE, an autoencoder that automates batch correction, visualization, and clustering. She bridges rigorous algorithm design (rooted in a PhD in EECS from the University of Michigan) with practical biological applications spanning cancer, immunotherapy, developmental biology, infectious disease, microbiomes, and population genetics. In addition to research, she teaches cross-listed graduate courses in machine learning for biology and advanced ML topics, and her work uniquely combines deep learning intuition with geometric views of data to make noisy single-cell measurements interpretable.
8 years of coding experience
13 years of employment as a software developer
Ph.D., Computer Science and Engineering, Ph.D., Computer Science and Engineering at University of MichiganBachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Kalamazoo CollegeHigh School, High School at Kalamazoo Area Math and Science CenterBishop Cottons
German, Kannada, Hindi
Github Skills (12)
affinity10
unsupervised-learning10
heat9
transition9
single-cell-analysis9
dimensionality-reduction9
embedding7
visualization6
machine-learning6
data-visualization6
reduction3
python2
Programming languages (2)
Github contributions (5)
KrishnaswamyLab/GSTH
Oct 2021 - Nov 2021
Contributions:10 pushes in 27 days
SmitaKrishnaswamy/PHATE
Apr 2018 - Apr 2018
Contributions:3 pushes, 1 branch in 1 day
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