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Thomas Deneux
Data scientist
Thomas Deneux is a neuroscience expert with a focus on studying the functional organization of neuronal populations, multi-sensory integration, and interactions between ongoing and sensory-evoked activities.
His expertise lies in data analysis methods, developing software, and extracting relevant signals from large datasets, especially in the preprocessing and analysis of two-photon microscopy data for neuronal spiking activity.
With a background in fundamental mathematics, a PhD in computer vision & brain imaging analysis, and 10 years of research in experimental neurobiology, Thomas brings a unique skill set to his work.
He studied Mathematics at '\u00c9cole normale sup\u00e9rieure and has held various roles in prestigious organizations such as being a founder at Learning Robots, CSO at XPLOR, and a Research Engineer at CNRS.
Thomas Deneux has also contributed significantly to the field through his postdoctoral fellowships and research roles at institutions like CNRS and the Weizmann Institute of Science.