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I’m developing tools needed to tackle the challenges posed by the high volume and complexity of the data that will be collected in future particle collider experiments. I’m working on this from two sides. On one side, I’m helping develop a highly parallelizable algorithm to reconstruct the tracks from particles coming out of collisions, starting from the hits that are registered by the various layers of the detector. This is necessary because the complexity will outgrow expected CPU capabilities, so we need to exploit massively parallel hardware like GPUs. On the other side, I’m helping develop and maintain a Python software ecosystem that allows researchers to easily and efficiently analyze their data.