Key Projects
1. Legacy Seismic Data Recovery
I lead efforts to recover, convert, and modernize critical legacy datasets from volcanoes such as Soufrière Hills (Montserrat), Mount Pinatubo, Popocatépetl, and Nevado del Ruiz. My work involves decoding obsolete formats (e.g., DDS tapes, Zip disks, floppy disks), converting to modern standards (MiniSEED, StationXML, QuakeML), and preserving them in structured SDS archives.
2. Real-Time Energy Magnitude and ASL System
At MVO (2000–2003), I developed a real-time monitoring system for estimating energy magnitude and locating pyroclastic flows using amplitude-source location (ASL). I’m now rebuilding this system using Python and ObsPy, producing heatmaps of dome collapse trajectories and contributing to early warning capabilities.
3. Machine Learning Classification of Volcanic Events
I’ve developed pipelines to extract waveform features (e.g., peak frequency, RSAM, kurtosis) and classify event types using supervised and unsupervised ML. My current work focuses on 3-component and network-aware classifiers for real-time use at observatories.
4. Rocket Seismology at KSC
Since 2016, I’ve led a seismo-acoustic monitoring campaign at Kennedy Space Center, capturing signals from rocket launches and landings. This work supports new research in rocket-induced ground motion, coastal erosion, thunder detection, and hurricane signal monitoring.
5. FLO-VO: Florida Virtual Volcano Observatory
FLO-VO is a real-time training and research platform that simulates volcano observatory operations. It supports student engagement, international collaboration, and development of reproducible monitoring tools using open data and modular Python codebases.