Applied Mathematics Colloquium – Dr. Natalie Stanley, Stanford University

Dr. Natalie Stanley, Postdoctoral Fellow in Aghaeepour Lab

Stanford University

https://nalab.stanford.edu/team/natalie-stanley/

Title: Leveraging Cellular Heterogeneity for Predictive Modeling of Single-Cell Data

Abstract: Advancements in single-cell technologies enable the profiling of gene and protein expression at a single-cell level. These technologies are being increasingly applied in clinical settings, and often result in measurements from millions of cells within a patient cohort. In this talk, I will describe `VoPo`, an algorithm that we recently developed (https://www.nature.com/articles/s41467-020-17569-8) for automated cell-population discovery, feature engineering, comprehensive visualization, and predictive modeling of patient outcomes. I will also show how we applied this new methodology to understand the effects of steroids on the immune system after surgery (https://www.nature.com/articles/s41467-020-17565-y).