Biography
Seïf Ben Bader is a postdoctoral researcher at the samlab, where he works on radar and wearable data analysis from the Moonwalk Study. He holds a PhD in Applied Mathematics from Università della Svizzera italiana, as well as a Master’s and Bachelor’s degree in Mathematics and Computational Science and Engineering from EPFL. His research spans uncertainty quantification, time-series anomaly detection, and AI-driven predictive modeling of physiological data. Before joining the University of Bern, he worked on several healthcare and cybersecurity projects, with expertise in time-series modeling, deep learning, and predictive systems.
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