Claire Ben Ali is a Senior Data Scientist at Naqi Logix, where she leads advanced data science and research initiatives focused on multimodal signal interpretation and feature development. At Naqi, her work centers on designing algorithms that extract meaningful physiological and environmental features from complex, noisy data streams, directly supporting the company’s neural interface technology.

Her research background spans engineering and computer science, with deep specialization in signal processing, electrophysiological modalities such as ExG, and advanced feature engineering across sound and biomedical data. Claire is the inventor on a patent for sub-Nyquist sampling techniques, enabling efficient acquisition and analysis of structured signals below conventional sampling limits — bridging theoretical innovation with real-world system constraints.

At Naqi, Claire applies this foundation to develop scalable, research-driven machine learning solutions that translate cutting-edge signal processing into product-ready capabilities. Her work helps ensure Naqi’s technology remains robust, efficient, and adaptable across diverse use cases in human-machine interaction.