Research Interests:

• Seismic interferometry
• Horizontal-to-vertical spectral ratio (HVSR)
• Multichannel analysis of surface wave (MASW)
• Ambient noise tomography
• Bayesian inversion

Education:

• 2019 - 2024: Doctoral candidate (TU Berlin)
  Thesis Topic:  Application of Bayesian inversion for subsurface imaging of Critical Zone using seismic methods across a climate gradient in Chile
  The research project aims to provide a reliable subsurface image of the Critical Zone where bedrock transforms into weathered rocks. The project involved various seismic data acquisition (both active and passive) in different locations across Chile. For the data processing, the Bayesian inversion approach is used in combination with Multichannel Analysis of Surface Wave (MASW, active seismic) and Horizontal-to-Vertical Spectral Ratio (HVSR, passive seismic). The imaging results are then combined with various geochemistry, mineralogy, and geophysical logging from an existing borehole.
  
  
• 2015 - 2017: M.Sc. in applied geophysics, IDEA League Applied Geophysics Joint Master Program (TU Delft, ETH Zürich, RWTH Aachen)
  Thesis Topic: Temporal Monitoring of a Geothermal Field using Ambient Noise
  The objective of the project is to be able to perform a temporal monitoring of a geothermal field using seismic coda-wave interferometry (CWI) after a landslide occurred in the area using GFZ's array of seismometers. The application aims to monitor the temporal changes that happen in the geothermal field with a point of view from apparent velocity changes and decoherence . The objective is then to relate the ongoing exploitation to a risk of natural hazards in the forms of earthquakes and landslides. With the current network set, 78 empirical Green's function (EGFs) were reconstructed as a reference to be compared with the daily EGFs in order to perform the CWI method.
  
  
• 2010 - 2015: B.Sc. in geophysical engineering (Bandung Institute of Technology, Indonesia):
  Thesis Topic: Ambient Noise Tomography Application for Merapi Volcano Complex's Rayleigh Wave Group Velocity
  The research aims to map Rayleigh wave's group velocity around Merapi Volcano, Indonesia using Ambient Noise Tomography. This group velocity map can then be used to assess the volcanic hazard risk of the volcano with more detailed information, providing practical insights for hazard management. With the DOMERAPI seismometer network which consists of 46 broadband seismometer, more than 900 empirical Green's functions (EGFs) were reconstructed between the pairing of the stations. The EGFs were then analyzed to get the Rayleigh wave group velocity using the Frequency-Time Analysis method. Using the obtained group velocity from each period/frequency, a tomographic routine was performed to create the Rayleigh wave group velocity map of the area. Another practical application of this method would be to map a bedrock depth for civil engineering purposes which relates to building resilience to earthquakes.

Projects:

• Geophysical Imaging of Deep EarthShape (GIDES)
• Multiscale Observation Services for Mining-related Deposits (MOSMIN)