Jonas Geiping

• Program

  AI Safety Science

• Institution

  Ellis Institute Tübingen

• Location

  USA

Dr. Jonas Alexander Geiping is a leading researcher in machine learning, currently heading a joint research group at the Max Planck Institute for Intelligent Systems and the ELLIS Institute Tübingen. His work primarily focuses on ensuring safety and efficiency in modern machine learning systems. Dr. Geiping holds a Ph.D. in Computer Science from the University of Siegen, where his research centered on optimization techniques in computer vision and machine learning security.
His academic journey includes postdoctoral roles at the University of Maryland and the University of Siegen, specializing in privacy, security, and optimization in deep learning. Renowned for his contributions to federated learning and neural network training methods, Dr. Geiping has published extensively in leading conferences such as ICML and NeurIPS. His influential works include pioneering research on privacy vulnerabilities in federated learning and innovative methods for efficient machine learning model training.