Jay Qi is a Data Science Technical Lead at Uptake, an industrial A.I. software company headquartered in Chicago. Uptake combines data analytics and machine learning with deep industry knowledge to unlock the power of AI for the global industrial sector.
In addition to his primary work predicting locomotive and heavy equipment failures using machine learning, Jay is closely involved with Uptake.org, the company's philanthropic and civic innovation arm. As a mentor for the Uptake.org Data Fellows Program, he has advised social sector data scientists since the program's founding, including those from the City of Chicago, the New York City Department of Education, and a technology platform for non-profits in Melbourne, Australia.
Jay has a M.S. in Mechanical Engineering from Caltech and a B.S.E. in Mechanical and Aerospace Engineering from Princeton. In his past life, he has worked on computational fluid dynamics, robotics, and aerospace engineering.