**Research**My research is primarily focused on the analysis, development, and solution of computational problems and the intersection of computer science, mathematics, and physics.

I am interested in topics from combinatorial optimization to quantum computing to machine learning methods. My research draws on techniques from representation theory, algebraic geometry, invariant theory, and combinatorics.

In my current capacity as algorithm engineer at Calendar42, my primary focus is the practical design and implementation of solutions to combinatorial optimization problems, especially focused on scheduling, routing, and logistics.

Other problems I have worked on / am interested in include (in no particular order):

- Symbolic computation in algebra / combinatorics
- Graph and Matroid Theory
- Shortest Path Routing Algorithms
- Stochastic Methods and Random / Quantum Walks
- Quantum Computing and Quantum Inspired Algorithms
- Category Theory
- Measures of Quantum Entanglement
- Algebraic Complexity Theory
- Circuit methods in Computer Science / Quantum Computing
- Machine Learning and Artificial Intelligence
- Combinatorial Counting Problems and Complexity Theory
- Tensor Methods

__Curriculum Vitae__