Project Summaries

Post Doctoral Research Projects

Nerve Learning: Supervised, Inductive Learning via Dataspace Geometry

ProjectSummary_2.1.pdf

Adaptively Extending Parameteric Models via Fiber-Bundles

ProjectSummary_2.3.pdf

Geometric Data Analysis Across Scales via Laplacian Eignevector Cascading

ProjectSummary_2.2.pdf

Graduate Research Projects

Kernel Density Estimation for a Random Persistence Diagram

ProjectSummary_3.1.pdf

Non-landmark Classification and Application in Paleobiology

ProjectSummary_3.2.pdf

Hodge Decomposition and Equitable Kidney Exchange

ProjectSummary_3.3.pdf

Path Algorithms and Metric Geometry in 3D-Printing

ProjectSummary_3.4.pdf

References for Project Summaries

ProjectSummary_Ref.pdf