Research Scientist, Department of Mathematics and Earth Resources Laboratory

Massachusetts Institute of Technology


A driven and knowledgeable research associate offering proven background in applied mathematics and geophysics. History of developing novel algorithms related to geophysical inverse problems, signal processing and machine learning.


  • wave-equation based imaging
  • geophysical signal processing
  • earthquake seismology
  • seismic interferometry
  • high performance computing for geophysical applications


  • PhD in Geophysics, 2016

    Delft University of Technology (TU Delft), Delft, The Netherlands.

  • Master of Science and Technology, 2012

    Indian Institute of Technology (Indian School of Mines), IIT (ISM), Dhanbad, India.

My research seeks simple, reliable, and flexible models to process geophysical signals in the following disciplines.

Seismic Imaging

The scientific field where recordings of seismic waves are used to infer information about geological structures deep underground.

Seismic Interferometry

Techniques that study the interference phenomena between pairs of noise signals in order to gain useful information about the subsurface.

Earthquake Seismology

Scientific study of earthquakes and the propagation of elastic waves through the Earth.

Research Experience


Research Scientist, Department of Mathematics & Earth Resources Laboratory

Massachusetts Institute of Technology (MIT)

Apr 2020 – Present Cambridge, USA

Investigating novel methods of machine learning in the context of seismic imaging.

  • Mentor: Prof. Laurent Demanet.

Postdoctoral Associate, Department of Mathematics & Earth Resources Laboratory

Massachusetts Institute of Technology (MIT)

Dec 2016 – Mar 2020 Cambridge, USA

Developed algorithms to factorize i.e., blindly deconvolve seismic noise signals, and thereby output key features pertaining to either sources (e.g., earthquakes) or subsurface characteristics.

  • Mentor: Prof. Laurent Demanet

Graduate Researcher, Faculty of Civil Engineering and Geosciences

Delft University of Technology (TU Delft)

Sep 2012 – Nov 2016 Delft, The Netherlands

Developed robust seismic full-waveform inversion algorithms, in consideration of near-surface imaging applications, which employ auxiliary signal models to produce an accurate reconstruction of the subsurface properties.

  • Advisors: Prof. Wim Mulder; Prof. Guy Drijkoningen

Research Assistant, Physical Science and Engineering Division

King Abdullah University of Science and Technology (KAUST)

May 2010 – May 2012 Saudi Arabia

Spearheaded research towards the establishment of super-virtual seismic interferometry, which presents a collection of methods to denoise seismic refractions and diffractions.

  • Mentor: Prof. Gerard Schuster



Redshift of Earthquakes

A robust factorization of the teleseismic waveforms resulting from an earthquake.

Focused Blind Deconvolution

Data-driven Green’s function retrieval from the multi-channel seismic data of a noisy source.


Julia toolbox for geophysical modeling and inverse problems.

Multi-objective Full Waveform Inversion

When the seismic waveforms are too complicated to be analyzed during inversion, a simplification of them into envelope-like bumpy waveforms can be useful.

Super-virtual Interferometry

A denoising model for imaging seismic refractions and diffractions.

Recent Publications

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(2020). SymAE: redatuming timelapse data to create virtual baseline sources in the monitoring medium. Proceedings of the 2020 Fall Meeting AGU.

(2020). SymAE: an autoencoder with embedded physical symmetries for passive time-lapse monitoring. SEG Technical Program Expanded Abstracts 2020.


(2019). Systems and methods for focused blind deconvolution. US Patent App. 16/407,884.


(2019). A seismoelectric inverse problem with well-log data and borehole-confined acquisition. SEG Technical Program Expanded Abstracts 2019.


(2019). Focused blind deconvolution. IEEE Transactions on Signal Processing.



Kaufman Teaching Certificate

Demonstrated a strong commitment to the teaching enterprise by completing several workshops and contributing to class discussions and activities designed to help practice teaching methods.

Best Paper Award

Presented during the annual geosciences research meeting.

Computational Resource Grant

Developed near-surface seismic imaging algorithms for real-time risk assessment during tunnel excavation.

Innovation In Science Pursuit For Inspired Research (INSPIRE) Scholarship

Scholarship for Higher Education, Indian School of Mines