마일스톤

Began his PhD program in Computer Science & Engineering at the University of Washington, advised by Luke Zettlemoyer.

Defended his PhD thesis, "Building Blocks for Data-Driven Theories of Language Understanding," at the University of Washington.

Began a postdoctoral position at the Center for Data Science at New York University, working with advisor Sam Bowman.

Became the head of the Safety, Evaluations, and Alignment Lab (SEAL) at Scale AI, focusing on research to safeguard AI system behavior.

Joined Meta to work on AI alignment as part of its new superintelligence unit, alongside former Scale AI colleagues Alexandr Wang and Summer Yue.

Began his PhD program in Computer Science & Engineering at the University of Washington, advised by Luke Zettlemoyer.

Defended his PhD thesis, "Building Blocks for Data-Driven Theories of Language Understanding," at the University of Washington.

Began a postdoctoral position at the Center for Data Science at New York University, working with advisor Sam Bowman.

Became the head of the Safety, Evaluations, and Alignment Lab (SEAL) at Scale AI, focusing on research to safeguard AI system behavior.

Joined Meta to work on AI alignment as part of its new superintelligence unit, alongside former Scale AI colleagues Alexandr Wang and Summer Yue.

Began his PhD program in Computer Science & Engineering at the University of Washington, advised by Luke Zettlemoyer.

Defended his PhD thesis, "Building Blocks for Data-Driven Theories of Language Understanding," at the University of Washington.

Began a postdoctoral position at the Center for Data Science at New York University, working with advisor Sam Bowman.

Became the head of the Safety, Evaluations, and Alignment Lab (SEAL) at Scale AI, focusing on research to safeguard AI system behavior.

Joined Meta to work on AI alignment as part of its new superintelligence unit, alongside former Scale AI colleagues Alexandr Wang and Summer Yue.