I am a Research Scientist with experience across industries, such as space, oil & gas and healthcare. I am based within the Department of Neuroscience of the Erasmus Medical Centre in Rotterdam. My area of expertise is: machine learning, Bayesian inference and cognitive systems for radar and ultrasound imaging.

Previously, I worked at the European Space Agency (ESA) in ESTEC. I was part of the Wave Interaction and Propagation section in the RF Payloads and Technology division. There, I worked on cognitive radar data processing and bistatic radar geophysical parameter retrievals. Some projects include: 

• on-board machine learning systems (raw data processing) for Synthetic Aperture Radar (SAR) satellites [detect], [classify], [compression],
• technology developments for Cognitive Synthetic Aperture Radar payloads [overview],
• end-to-end performance simulation chains for various SAR missions (electromagnetic modeling, image focusing, retrievals),
• geophysical parameter retrievals for [biomass estimation] from reflected GNSS navigation signals.

Before that, I worked at the Computational Imaging group of Centrum Wiskunde en Informatica (CWI). I developed physics-based differentiable algorithms for ultrasound imaging. Applications include: under-sampled imaging, data compression, data fusion and single plane-wave imaging.

I completed a Ph.D. in Physics (applied Bayesian Machine Learning) at the Cavendish Laboratory, University of Cambridge [thesis]. At the same institution, I was an Adjunct Lecturer in machine 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 and Information Engineering at Imperial College London.

More information about my research and teaching experience can be found at Publications and Teaching respectively.