معرفی
Zico Kolter is a Professor and Department Head of the Machine Learning Department at Carnegie Mellon University's School of Computer Science. He also serves on the Board of Directors at OpenAI, chairs its safety and security committee, and holds roles at Gray Swan AI and Robert Bosch, LLC. His research focuses on AI safety, adversarial robustness, LLM security, and computational methods for energy systems. Kolter holds a PhD in Computer Science from Stanford University (2010) and has received accolades including the DARPA Young Faculty Award and Sloan Fellowship.
His work addresses challenges in machine learning, optimization, and control systems, with applications to sustainability, robotics, and energy grids. Notable contributions include advancements in adversarial defense mechanisms, implicit models, and energy disaggregation. Kolter teaches courses such as Graduate Artificial Intelligence and Deep Learning Systems, and leads a research group producing influential work in NeurIPS, ICML, and other top venues.
Scientific awards include multiple best paper recognitions at NeurIPS, ICML, AISTATS, IJCAI, KDD, and PESGM. His advising spans students like Victor Akinwande and Andy Zou, focusing on topics from causal discovery to LLM security. Kolter's contributions extend to software tools like TorchDEQ and frameworks for computational sustainability, emphasizing both theoretical rigor and real-world impact.
