Brian Sha is a graduate student studying Computer Science at Stanford University and a mentor at Qualia Global Scholars. He served as a Teaching Fellow for Stanford’s first dual-enrollment Computer Science program for talented high school students from diverse backgrounds. He has worked as a researcher for the Stanford Institute for Human-Centered Artificial Intelligence on the AI Index (supported by Stanford, Google, MIT, McKinsey, and OpenAI, among others). He was part of the Stanford team that won first prize in the Rotman International Trading Competition’s Algorithmic Trading Case. He has worked in software engineering and research at one of the top quantitative investment funds in the world, where he helped manage an investment portfolio using cutting-edge AI, ML, and Data Science. His experience teaching a Stanford course to students from diverse backgrounds inspired the Qualia Global Scholars Program's mission of empowering talented students from around the world. Contact him at brians ‘at’ cs.stanford.edu.