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  • Knot Theory

  • Efficient Generation of Large Random Polygons

  • Efficient Generation of Large Random Polygons

  • Direct Sampling of Confined Polygons in Linear Time

  • Balancing Graphs Using Geometric Invariant Theory

  • Finding Good Coordinates for Sampling: The Importance of Geometry

  • Matrix Optimization Informed by Geometric Invariant Theory and Symplectic Geometry

  • Optimization Informed by Geometric Invariant Theory and Symplectic Geometry

  • Math 105

  • Complex Analysis

  • Generating (and Computing with) Very Large Ensembles of Random Polygonal Knots

  • Optimization and Normal Matrices

  • RMHS

  • Geometric Approaches to Frame Theory

  • Introduction to Knot Theory

  • Frames as Loops

  • Applications of Grassmannians and Flag Manifolds

  • Frames, Optimization, and Geometric Invariant Theory

  • Hodge and Gelfand Theory in Clifford Analysis and Tomography

  • Topological Polymers and Random Embeddings of Graphs

  • Finding Good Coordinates for Sampling Configuration Spaces

  • Geometric Approaches to Frame Theory

  • Geometric Approaches to Frame Theory

  • Animations

  • Some Applications of Symplectic Geometry

  • A Lie Algebraic Perspective on Frame Theory

  • Random Graph Embeddings with General Edge Potentials

  • What is a Random Knot? And Why Do We Care?

  • The (Symplectic) Geometry of Spaces of Frames

  • Generating (and Computing with) Very Large Ensembles of Random Polygonal Knots

  • An Introduction to Symplectic Geometry and Some Applications

  • New Stick Number Bounds from Random Sampling of Confined Polygons

  • What is (Applied) Symplectic Geometry?

  • New Stick Number Bounds from Random Sampling of Confined Polygons

  • Hamiltonian Group Actions on Frame Spaces

  • Modeling Topological Polymers

  • Symplectic Geometry and Frame Theory

  • Stiefel Manifolds and Polygons

  • Visualizing Higher Dimensions

  • Tensors in Differential Geometry

  • Symplectic Geometry and Frame Theory

  • Using Differential Geometry to Model Complex Biopolymers

  • What’s the Probability a Random Triangle is Obtuse?

    For MATH 161

  • What’s the Probability a Random Triangle is Obtuse?

    An Introduction to Geometric Probability, Shape Spaces, Group Actions, and Grassmannians

  • Modeling Topological Polymers

  • Symplectic Geometry and Frame Theory

  • The Geometry of Topologically Constrained Random Walks

  • Symplectic Geometry and Frame Theory

  • Random Walks are Almost Closed

    Loop closure is surprisingly non-destructive

  • Random Walks are Almost Closed

    Loop closure is surprisingly non-destructive