Shayne Longpre is a graduating PhD candidate from MIT, and AI researcher focusing on both data-centric training methods, and evaluating AI systems for broader socio-economic impact.

Read more here: www.shaynelongpre.com.

My topic interests are quite broad: Open-weight model safety as the first preference, and AI socio-economic impacts, AI data journalism/policy, AI creativity, or, for candidates with more advanced AI backgrounds, AI self-improvement loops.

A passion for a specific application of AI systems, and ideally some interdisciplinary perspective (from math, science, policy, or humanities). Some coding or research experience, including personal projects, is a great start.