Kipp Freud possesses a diverse background in research and engineering, with experience spanning several companies including Clear-Com, Simons Foundation, API Cognition Ltd, and Meta. As a Research Intern at Clear-Com, Kipp implemented new audio filters and investigated source separation algorithms. In the role of Associate Researcher at Simons Foundation, Kipp developed wavelet decomposition tools for neurophysiological data analysis. Kipp has also led projects as an Artificial Intelligence Engineer, focusing on Natural Language Processing for medical applications, and has conducted research on tactile sensations and ultrasound interactions. Currently, Kipp is a Research Scientist at Meta, contributing to the design of machine learning solutions. Kipp holds a Bachelor of Science in Mathematics and Statistics, a Master of Science in Mechatronics, Robotics, and Automation Engineering, and is pursuing a PhD in Interactive Artificial Intelligence at the University of Bristol.
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