I work at the intersection of geophysics, statistical modeling, and machine learning — applying deep learning, signal processing, and probabilistic methods to problems in seismology, geosciences, wireless signals, and beyond.

📍 Pocatello, ID  |  📧 danedwells@gmail.com  |  🔗 LinkedIn | Website

Languages

ML & Data Science

Web & Frameworks

Design & GIS

Specializations

• Deep Learning: CNNs, Transformers, GANs, Autoencoders, Physics-Informed Neural Networks
• Geophysics: Seismology, Ambient Noise Tomography, Seismic Phase Picking, Earthquake Location
• Signal Processing: Time-frequency analysis, Wavelet methods, IQ data, RF signal classification
• Probabilistic Methods: Bayesian inference, Hamiltonian Monte Carlo, Inversion Theory
• HPC: SLURM, GPU acceleration, parallelization

Improving earthquake early warning by implementing static and dynamic Bayesian priors and context-driven GRU architectures to forecast and compute magnitude, location, and timing of earthquakes.

Flexible framework for accessible, automatic application of AI and ML to scientific data. Features auto-encoders and dimensionality reduction wrappers for rapid deployment across diverse input types.

Supervised ML for monazite classification; addressing data scarcity challenges in REE geoscience.

Physics-informed neural networks to optimize subsurface serpentinization for clean hydrogen production.

ML pipeline for portable detection, classification, and open-set recognition of unknown wireless signals using GANs, CNNs, and transformer architectures. Deployed on field hardware.

Peer-Reviewed Journals

• Wells, D. E. et al. (2024). Wasatch Fault Structure from Machine Learning Arrival Times and High-Precision Earthquake Locations. Bulletin of the Seismological Society of America. DOI

• Wells, D., Lin, F. C., Pankow, K., et al. (2022). Combining dense seismic arrays and broadband data to image subsurface velocity structure in geothermally active South-central Utah. Journal of Geophysical Research: Solid Earth. DOI

• Pankow, K. L., ... Wells, D., et al. (2020). Responding to the 2020 Magna, Utah earthquake sequence during COVID-19. Seismological Research Letters. DOI

• Wei, X., Saha, D., Wells, D., & Quach, A. (2025). Contrasting Time-Frequency Representations for Unknown Waveform Detection. IEEE ICC 2025.

In Preparation

• Wells, D. et al. (2025). A Comparative Analysis of Feature Extraction and Distance Loss Functions for Unknown Waveform Detection. IEEE Transactions on Signal Processing.
• Wells, D. E. et al. (2025). Evidence for interaction of Wasatch Fault segments at depth. Seismica.

• US202250192904A1 — Spectrum Monitoring and Analysis (WiFIRE)
• US11251889B2 — Wireless Signal Monitoring and Analysis (WiFIRE)
• US12418349B2 — Spectrum Monitoring and Analysis (WiFIRE)