事件时间表

Started his PhD program in Mathematics at Columbia University, which he completed in 2016.

Began a postdoctoral research position at New York University, continuing his academic career after his PhD.

Joined Google as a Researcher, contributing to various AI projects, including work at DeepMind on AI alignment.

Co-authored a paper on FNet, a novel Transformer architecture. The paper won the Best Efficient NLP Paper award at the NAACL 2022 conference.

Became a Research Scientist at Meta's newly formed 'Superintelligence' team, focusing on AI alignment and safety.