David Widemann

David Widemann is a seasoned professional in machine learning and signal processing, currently serving as a Machine Learning Researcher at Density since May 2024, where the focus is on developing models for tracking and counting individuals in office environments using radar data. Prior to this role, David held positions at Lightmatter as a Principal Solutions Architect and Machine Learning Scientist, advancing photonic chip technology for machine learning applications. David's extensive experience also includes research roles at Lawrence Livermore National Laboratory, SRI International, and other institutions, contributing to the development of algorithms for various sensor data and medical applications. David holds a Ph.D. in Computational and Applied Mathematics from the University of Maryland, along with a Master's and Bachelor's degree in Mathematics.