Janis Marie Taube

The paper introduces SPHERE-PCA, a method to interpret single-cell state transitions using spherical geometry, revealing structured patterns in developmental and disease datasets.

This paper introduces a live tumor fragment platform to assess immunotherapy response in core needle biopsies, showing it can detect T-cell responses and mitigate tissue heterogeneity challenges.

The paper develops a spatial biomarker, DONUTS, to predict treatment response in lung cancer by analyzing the niche surrounding CD8+FoxP3+ T-cells.

FAUST is a new interpretable machine learning method for single-cell cytometry that discovers and validates T cell correlates of response to anti-PD-1 immunotherapy.