Work With Me

The best way to reach me is on LinkedIn — messages there get read and answered. Code questions and bug reports are better filed as issues on the relevant GitHub repository.

Research interests

My dissertation — Robust Inertial Navigation in GNSS-Denied Environments Using MEMS Grade Sensors and Passive Geophysical Aiding — uses the Earth’s own gravity, magnetic, and bathymetric anomaly fields as a map to bound inertial drift when satellite navigation is unavailable, on the cheap, noisy sensors most platforms actually carry. That has produced both particle filter and unscented Kalman filter formulations, a study of when map information is theoretically sufficient to produce a fix at all, and an open dataset and toolbox for evaluating any of it.

Adjacent problems I’m interested in: sensor fusion architectures for small autonomous air vehicles, characterizing and modeling low-cost IMU error, terrain- and vision-relative navigation, and benchmarking — the field badly needs shared datasets and reproducible baselines, which is most of why I publish the tooling I do.

If you work on any of that, in industry or academia, I’d like to hear from you.

Collaboration

I’m open to co-authorship, reviewing, dataset contributions, and conference sessions in the PNT and robotics communities. If you’re organizing a session or panel on GNSS-denied navigation, get in touch.

Consulting

I take selected consulting engagements in navigation, autonomy, and research software — short- or long-term. Typical work: algorithm design and review for GNSS-denied or GNSS-degraded navigation, sensor selection and error budgeting, turning research code into something maintainable, and technical due diligence for investors evaluating navigation or autonomy companies. I’ve been on the founder side of that last one, which tends to make the questions sharper.