R&D
I like to work at the intersection between science, tech, software and data. At VITO I help researchers get more out of their data, contribute to research data management efforts at VITO, platform building and maintenance, and writing research software in projects like characterize to sort. I also give Python trainings.
By training I'm a materials scientist and physicist. For my Ph.D. I investigated the effects of high energy radiation on metals at the nanoscale using transmission electron microscopy (TEM) and atom probe tomography (APT). As a postdoc researcher I delved deeper into electron imaging physics and developed image processing routines for large multidimensional TEM datasets.
I'm also a longtime enthusiast of Python, data, high performance computing (HPC), Linux and open source software. During my postdoc I contributed extensively to python based open source TEM data analysis packages, using the scientific python stack in addition to libraries like cupy, numba, and dask. I also worked as a data engineering consultant in industry where I implemented data pipelines for enterprise clients with PySpark, pytho
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