Kevin Wei (he/they) is a research scientist working on (legal safety/alignment) evaluations and the science of evaluations. They are an Adjunct at RAND and was previously a Fellow in RAND's Technology & Security Policy Center. Kevin's work has been published in ICML, AIES, FAccT, TMLR, AAAI, and other venues.Kevin has a Master's in Global Affairs from Tsinghua University, an M.S. in Machine Learning from Georgia Tech, and a B.A. in Mathematics-Statistics & Economics from Columbia.

Kevin is interested in working on a project around (reducing) evaluation awareness in LLMs. We plan on having a team of 3-6 researchers on this project in total, 1-2 joining us as CBAI Fellows.

Ideal candidates should be familiar with Python and have previous research experience in machine learning. Familiarity with statistical modelling/causal inference and with evaluation frameworks such as Inspect are a plus (but not required). Candidates should have an interest in AI safety and a desire to publish an academic paper.