Software for Applied Math Research
I'm a senior software engineer at Geometric Data Analytics in Durham, NC. I own systems end-to-end: database design, containerized backends, CI/CD, authentication, and user-facing frontends, including infrastructure serving generative AI applications.
I'm the creator and maintainer of Hiveplotlib, an open-source Python package for visualizing network data with hive plots.
I care about making research usable: turning models and math into tools that real people run in production. Lately that includes a lot of AI-first development with Claude Code and custom multi-agent harnesses.
Featured projects
- Hiveplotlib: open-source Python package for hive plots, a reproducible and interpretable way to visualize network data.
- Topological Signal Compression: persistent homology-based signal compression, presented at the 2023 IEEE Aerospace Conference (also on arXiv) and awarded Best Paper for the Remote Sensing Track.
Featured writing
- Talking with a Partner Instead of Typing at a Worker: you'll say more, and say it faster, speaking with LLMs instead of typing at them.
- A Non-Mathy Introduction to Persistent Homology: using Topological Data Analysis (TDA) tools in data science, without any graduate-level math.