🎓 Postdoctoral Researcher in Geophysics

🧠 Machine Learning for Seismology | 🌋 Earthquake & Volcano Research

• I develop signal processing and machine learning algorithms for time series data such as seismic and strainmeter records.
• My research focuses on earthquake and volcanic preparatory processes, with particular emphasis on tremor signals and Slow Slip Events (SSEs).
• My goal is to advance data-driven seismology to improve our understanding of fault slip and deformation processes, and move toward more reliable earthquake and eruption forecasting.

• DeepStrain
  Pipeline for detecting and clustering Slow Slip Events from borehole strainmeter data.

• AutoencoderZ
  Advanced autoencoder for feature extraction and dimensionality reduction of seismic/strain data.

• ClusTremor ⭐
  Deep learning–based clustering of tremor signals to study eruption phases and pre-eruptive activity.

• NoiseCut
  Denoising package for seismic and OBS records using harmonic–percussive separation.

• TremorExtractor-EqDetector
  Algorithms for volcanic tremor extraction and earthquake detection using MIR techniques.

• 📧 Email: zali@gfz.de
• 🌐 Google Scholar
• 💼 LinkedIn
• 🏢 GFZ Profile Page

⭐️ Feel free to explore my repositories or get in touch if you are interested in collaboration.