Brian Sha

Brian Sha studies Computer Science at Stanford University.

He worked as a Teaching Fellow at Stanford University where he helped initiate Stanford’s first dual-enrollment Computer Science program, which awards Stanford credit to talented high school students from low-income communities and underrepresented backgrounds.

He has worked as a researcher for the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on the Artificial Intelligence 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. As a software engineer and researcher at one of the top quantitative hedge funds in the world, he helped manage a portfolio of approximately $1 billion using cutting-edge AI, ML, and Data Science.

Read more about him and his work at Stanford University, The Stanford Daily, Yale University, New York University, Qualia Global Scholars Program, and the Association for Computing Machinery (ACM)

Contact him at brian.sha ‘at’ cs.stanford.edu.