Jonna Matthiesen

Jonna Matthiesen is a deep learning researcher specializing in AI optimization for defense, automotive, and IoT applications. With expertise in hardware-aware neural architecture search, model compression, and inference optimization, she focuses on making large language models (LLMs) deployable in resource-constrained environments such as embedded systems and edge devices. She holds a bachelor’s degree in Mathematics from Kiel University, Germany, and a master’s degree in Applied Data Science from Gothenburg University, Sweden. In 2023, Jonna joined Embedl, a company dedicated to efficient deep learning in automotive, defense, and IoT.