Current research interests:

microwave remote sensing, machine learning.

I am a Research Fellow working within the Wave Interaction and Propagation section at the European Space Agency (ESA) in ESTEC. My work is at the intersection of microwave remote sensing and machine learning. It involves the research and development of machine learning models and bio-geophysical parameter retrieval algorithms for various microwave remote sensing missions (Synthetic Aperture Radar and GNSS-Reflectometry) and applications (bio-geophysical parameter retrieval algorithms, data compression, data simulations and data analysis).

Before joining ESA, I worked as a scientific researcher at the Dutch national institute for Mathematics and Computer Science / Centrum Wiskunde & Informatica (CWI). There, I developed deep learning models for numerous ultrasound imaging problems and applications (data compression, image interpretation, data fusion, plane-wave imaging).

I completed a PhD in Physics at the Cavendish Laboratory, Department of Physics of the University of Cambridge [thesis], where I developed Bayesian machine learning algorithms for efficient seismic data acquisition using unsupervised feature learning. At the same institution, I was an Adjunct Lecturer in unsupervised learning, for two years [notes]. Earlier, I completed a master's degree in Scientific Computing at the University of Cambridge and an undergraduate degree in Electronic & Information Engineering at Imperial College London.

Further details about my research outcomes can be found in Publications, and about my teaching experience in Teaching.