My PhD is at the intersection of experimental and computational neuroscience. Initially, my research involved data analysis with electrophysiology recordings and I also helped experimental colleagues to set up their data analysis pipelines. The focal point of my work is the construction of a novel data-constrained spiking recurrent neural network, simulating an entire sensor-to-motor pathway. I am eager to contribute to advancements in neuroscience, leveraging my interdisciplinary skills and experience gained through collaborative projects.