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ABOUT ME

Main research interests:

I am a seismologist, specialised in modelling and imaging the earth's interior using seismic data. During my PhD I focussed on imaging the earth's mantle on a global and continental scale using Big Data. In my most recent projects, I am now modelling the response of fiber optic cables as they sense ground motion (DAS).

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Research-related interests:

 

Programmingat present day, being a researcher very often requires advanced programming abilities. Experience taught me the importance of writing codes that are not only functional, but also flexible and ready to be used by others (including a forgetful future self). For this reason, I go to great lengths to write well-documented, stable codes, many of which have been successfully used by other users in my research groups.

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GraphicsI firmly believe that clear graphical representations of data and results are extremely important, especially with the growing availability of increasingly large datasets. A few images can convey information to an audience in a way that is as clear—and at times clearer—than many lines of text, especially when addressing a wider audience. Also, and perhaps more importantly, exploring new ways to look at data can often spark new under- standing of them. I like to spend time exploring and finding graphical representations that are both clearly conveying the information, and eye-catching, balancing form and content.

Find me on:

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EDUCATION

RESEARCH INTERESTS

Tomographic imaging

Waveform inversion, big dataset, error analysis

2015-2019

Dublin Institute for Advanced Studies, Ireland

PhD in tomographic imaging

Tectonics

present state and evolution of the continental and oceanic lithosphere and its interaction with the underlying mantle

2014

NORSAR, Norway

Visits within the ERASMUS and NERA programs

2009-2015

University of Trieste, Italy

BSc and MSc in geology and geophysics

2020

Dublin Institute for Advanced Studies, Ireland

Postdoctoral scholarship

Big data

data mining in tomographic imaging, identification of systematic errors and automated rejection

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