Sonya Huang’s interest in AI started with training computer-vision models on brain scans and astrophysics data in college. Today it spans investing at Sequoia, conversations with researchers on the Training Data podcast, and building projects with coding agents herself. She grew up in a family of semiconductor engineers, learned to code in third grade, and remains drawn to what new technology makes possible. She studied economics at Princeton and worked at Goldman Sachs and TPG before joining Sequoia in 2018.
Sonya Huang’s interest in AI started with training computer-vision models on brain scans and astrophysics data in college. Today it spans investing at Sequoia, conversations with researchers on the Training Data podcast, and building projects with coding agents herself. She grew up in a family of semiconductor engineers, learned to code in third grade, and remains drawn to what new technology makes possible. She studied economics at Princeton and worked at Goldman Sachs and TPG before joining Sequoia in 2018.