
Zico Kolter
Professor of Machine Learning
Organization
Carnegie Mellon University
Position
Associate Professor, Machine Learning Department
Intelligence Briefing
Zico Kolter is an Associate Professor at Carnegie Mellon University, specializing in machine learning with a focus on robustness and safety.
Zico Kolter's research primarily revolves around the intersection of machine learning, robustness, and safety. He has contributed significantly to the understanding of how machine learning systems can be made more reliable and secure. His work often addresses the challenges posed by adversarial attacks and the deployment of AI in safety-critical applications.
BS, — Georgetown University
PhD, — Stanford University
Operational History
Promotion to Associate Professor
Promoted to Associate Professor in the Machine Learning Department at Carnegie Mellon University.
careerJoining Carnegie Mellon University
Joined the faculty at Carnegie Mellon University as an Assistant Professor.
careerJoining OpenAI
Became a researcher at OpenAI, focusing on AI safety and robustness.
careerPhD Completion
Completed PhD in Computer Science at Stanford University.
careerAGI Position Assessment
Unknown
Public profile centers on safety, evaluation, and reliability work around advanced AI systems.
Public profile centers on safety, evaluation, and reliability work around advanced AI systems.
Known Associates
OpenAI Research Team
collaboratorWorked collaboratively on various AI safety projects.
View Dossier →Stanford Faculty
mentorMentored by faculty members during his PhD studies.
View Dossier →CMU Faculty
colleagueCollaborates with other faculty members at Carnegie Mellon University.
View Dossier →AI Safety Community
collaboratorActive member of the AI safety research community.
View Dossier →Organizational Affiliations
Current
Carnegie Mellon University
Associate Professor
2016-present
Former
OpenAI
Research Scientist
2011-2016
Dossier last updated: 2026-03-04