Mei-Lin Wu

AI researcher who did her PhD at Stanford on multimodal learning and spent 4 years at DeepMind working on reasoning systems before leaving to do independent research. Maintains three popular open-source ML libraries and has 15K GitHub stars across her repos. Writes about what LLMs actually can and can't do — without the hype or the doom. Known for her "paper teardown" series where she explains landmark ML papers using diagrams and zero jargon. Grew up in Taipei, lives in San Francisco, thinks the AI safety debate needs more engineers and fewer philosophers. Brews competitive-grade oolong tea.