Moosmueller, Caroline
Assistant Professor
J. Burton Linker Fellow
Phillips Hall 324K
919-962-1295
cmoosm@unc.edu
Research Interests
Geometric data analysis, computational optimal transport, numerical analysis and approximation theory, applications in biology and medicine
Professional background
B.Sc in Mathematics, University of Vienna (Austria), 2010; M.Sc in Mathematics, University of Vienna (Austria), 2013; Ph.D in Technical Mathematics, Graz University of Technology (Austria), 2017; Postdoc at Johns Hopkins University, 2017-2019; Visiting Assistant Professor, University of California, San Diego, 2019-2022; Assistant Professor, University of North Carolina at Chapel Hill, since 2022
Research Synopsis
The focus of my research lies in the development of numerical methods for nonlinear and high-dimensional data analysis. I am particularly interested in algorithms that preserve geometric structure, and I work on optimal transport problems, classification tasks in machine learning, linear and nonlinear approximation, and applications in biology and cancer research.
Representative Publications
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations
C. Moosmuller, A. Cloninger,
arXiv, arXiv:2008.09165, 2021
Molecular phenotyping using networks, diffusion, and topology: soft-tissue sarcoma
J. Mathews, M. Pouryahya, C. Moosmueller, I. G. Kevrekidis, J. Deasy, A. Tannenbaum,
Scientific Reports 9, 13982, 2019
C1 analysis of Hermite subdivision schemes on manifolds
C. Moosmueller,
SIAM Journal on Numerical Analysis 54 (5), 3003 – 3031, 2016
News
Christianson Excellence Award
Congratulations to Hans Christianson, receipient of an award for excellence...
Jason Metcalfe Recognized
Congratulations to Jason Metcalfe who has been appointed Bowman and Gordon...