URAP

Andy Zou

Big Data for Global Employment Dynamics

For this project, I will be developing an open-source machine learning library that makes Natural Language Processing tasks easier. It will then be used for extracting insightful information from large textual datasets by training ML models to help address questions ranging from individual career outcomes to understanding firm performance to automation and future of work.

Message to Sponsor

This is an invaluable opportunity for me to deepen my research in artificial intelligence and its application in areas like textual understanding, and to build something that might be beneficial to the general community. I sincerely thank you!
  • Major: Computer Science & Applied Math
  • Mentor: Anastassia Fedyk, Haas School of Business