Grace Li Zhang

Grace Li Zhang is an Assistant Professor (Tenure Track) in Hardware for Artificial Intelligence at TU Darmstadt since 2022. Previously, she served as Group Leader on Heterogeneous Computing at TU Munich (2018–2022) and earned her Dr.-Ing. in Electrical and Computer Engineering (summa cum laude) from TU Munich (2014–2018).

Her research focuses on AI hardware-software co-design, including hardware accelerators for AI algorithms, neuromorphic computing, and emerging memory technologies like RRAM and FeFET. She explores circuit design methodologies, explainability of AI systems, and energy-efficient architectures.

Recent work emphasizes leveraging large language models (LLMs) for automated hardware design, verification, and code generation. Her projects address challenges in optical neural networks, in-memory computing, and robustness against hardware non-idealities. Zhang’s contributions span 60+ peer-reviewed articles, with a strong focus on practical implementations for real-world applications.

She leads the TU Darmstadt Hardware for AI group, collaborating with industry partners on next-generation computing systems. Her work bridges theoretical innovations with tangible hardware solutions, targeting efficiency, scalability, and security in AI infrastructure.