Created framework, high-level design, and guidelines for more secure data cooperatives.

Designed Category Cluster (CC), a federated multidimensional graph storage technique that exploits edge and vertex types to optimize storage and security for large, heterogeneous graphs.

Developed suite of graph algorithms adapted to work with graphs using homomorphic encryption.

Instructed lab section for cryptography course.

Guided students on installation and setup of virtual machines used in course.

Proposed rubric including weighted partial credit for free response questions (approved by professor).

Graded lab assignments and examinations according to approved rubric.

• Developed metrics and tools in Typescript to analyze trainees’ performance of CPR.

• Audited security of RESTful API server prior to internet deployment.

• Deployed testnet for testing in-development software and exploits.

• Developed an OpenGL 3D model editor written in C++ and Python.

• Wrote Python scripts to automate Blender commands, reducing workloads for graphic designers.

• Developed toolset to automate segmentation of data resulting from reverse-stereoscopy into 3D models using C++ and Eigen