Regular biography
Geoffrey Schiebinger is a faculty member in the Department of Mathematics at The University of British Columbia. His research focuses on the interplay between theory and experiment in natural science, particularly in the context of new measurement technologies like single-cell RNA sequencing. Schiebinger's group develops mathematical tools for analyzing time-courses of high-dimensional gene expression data, leveraging tools from optimal transport, probability, statistics, and optimization. His work aims to address questions related to cellular transformation and reprogramming.
Scholar-generated biography
Geoffrey Schiebinger is a researcher at the University of British Columbia, focusing on mathematical biology, optimal transport, statistics, and single cell analysis. His work integrates mathematical modeling with biological data to uncover developmental trajectories and cellular processes. Schiebinger's research includes the application of optimal transport methods to single-cell gene expression data, enabling the inference of lineage and developmental paths. He has contributed to the development of frameworks like LineageOT, which unifies lineage tracing and trajectory inference. His publications explore statistical optimal transport, single-cell transcriptomics, and the dynamics of cellular processes such as hematopoiesis and aging.