Smita Krishnaswamy
Associate Professor
Madison, United States
Summary
👤
Senior🎓
Top SchoolSmita Krishnaswamy is an associate professor of Computer Science and Genetics at Yale, leading a lab that applies machine learning to high-dimensional biological data. Her work centers on unsupervised, interpretable approaches—developing MAGIC for scRNA-seq imputation, PHATE for visualizing progression structures, and SAUCIE for batch correction, visualization, denoising, and clustering—with applications from embryoid body differentiation to cancer and microbiome studies. She collaborates across CS, genetics, and computational biology, teaching cross-listed courses such as Advanced Topics in Machine Learning & Data Mining and Machine Learning for Biology. Her career spans IBM research, Columbia University postdoctoral work, and a PhD in CS/EECS from the University of Michigan, underscoring a rare blend of theory, engineering, and biology. By marrying manifold learning with deep learning, she translates complex single-cell data into insights about phenotypic diversity and disease progression.
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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