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Zico Kolter

Zico Kolter

Professor of Machine Learning

Organization
Carnegie Mellon University

Position
Associate Professor, Machine Learning Department

h-Index--
Citations49,941
Followers--
Awards0
Publications0
Companies2

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.

Expertise
RobustnessSafety
Education

BS, Georgetown University

PhD, Stanford University

Operational History

2020

Promotion to Associate Professor

Promoted to Associate Professor in the Machine Learning Department at Carnegie Mellon University.

career
2016

Joining Carnegie Mellon University

Joined the faculty at Carnegie Mellon University as an Assistant Professor.

career
2011

Joining OpenAI

Became a researcher at OpenAI, focusing on AI safety and robustness.

career
2010

PhD Completion

Completed PhD in Computer Science at Stanford University.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Public profile centers on safety, evaluation, and reliability work around advanced AI systems.

Safety Approach

Public profile centers on safety, evaluation, and reliability work around advanced AI systems.

Known Associates

Organizational Affiliations

Current

Carnegie Mellon University

Associate Professor

2016-present

Former

OpenAI

Research Scientist

2011-2016

Dossier last updated: 2026-03-04