Overview
Where the research side lives
The GeoSignal Institute is the academic and scientific arm of GeoSignal Analytics, run separately from the consulting work but feeding into it.
It's where longer-term research, peer-reviewed publications, and methodology development happen, on a timeline that doesn't have to match a client deadline. What holds up here eventually makes its way into paid project work.
What the Institute does
Four things it's actually responsible for
Doing the research
Working on geophysics and signal processing problems that are too open-ended for a client engagement, on a timeline that allows for dead ends.
Publishing it
Peer-reviewed papers and academic collaborations, so the work can be checked by people outside the company, not just trusted on our word.
Keeping methods reproducible
A method that only one person can rerun isn't a method yet. We build things that can be handed off and repeated.
Getting it into real use
Research that never leaves a paper is a wasted effort. The point is for it to eventually show up in an actual project.
Focus areas
Where the research is currently pointed
Four directions, all built on the same principle: physical modeling and machine learning solving Earth-system problems together, not one replacing the other.
Computational & Physics-Informed Geophysics
Combining physical laws with deep learning to build subsurface models that stay interpretable, using PINNs and other physics-constrained methods.
Mineral & AI-Enhanced Exploration
Applying physics-guided AI to mineral prospecting, working across magnetometry, gravimetry, and induced polarization data.
Seismic Imaging & Physics-Based Monitoring
Mapping subsurface structures from active and passive seismic data, through high-resolution inversion and hazard forecasting.
Subsurface & Environmental Characterization
Bringing geophysical methods to environmental engineering problems: groundwater exploration and near-surface safety assessment.