Mathematician · Cyber Operator · ML Builder
I build things that make the math accessible without making it wrong.
I've spent my career moving between theory and application — quantum optics at MIT Lincoln Lab, offensive cyber operations at the 780th MI Brigade, and now teaching statistics at West Point. The thread connecting all of it: taking methods that are theoretically sound but practically inaccessible, and building tools so other people can use them correctly.
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A research workbench that turns CSV uploads into publishable ML papers. Upload your data → 10-step guided workflow → compilable LaTeX manuscript with auto-generated methods, results, and discussion skeleton. 18 models with per-model preprocessing · SHAP explainability with bootstrap CIs · Sensitivity analysis proving your results aren't fragile · Adaptive EDA with PCA, UMAP, and topological data analysis · Report generator that writes your methods section from your actual workflow decisions The app does the mechanical work. You provide the domain expertise no tool can fake. |
- Vision Transformers on Satellite Imagery — student-led paper comparing ViT/DeiT/DINO for conflict prediction.
- TDA-APT — privacy fingerprinting via topological data analysis.
- Applied Statistics Education — designing curriculum for West Point's Advanced Applied Stats course.
2025–now Mathematics Instructor, West Point
2021–2024 Company Commander & Tech Director, 780th MI Brigade (Cyber)
Deployed cyber planner · CNMF operations
2018–2020 MIT — MS Electrical Engineering + MS Technology & Policy
Quantum Optical Communications, Lincoln Laboratory
2014–2018 West Point — BS Physics + BS Mathematics
Building tools for researchers who'd rather think about their science than fight their software.