Zhichun Guo, a Ph.D. student in computer science and engineering at the University of Notre Dame, has been named a 2023 Snap Research Fellow.
The fellowship recognizes outstanding students carrying out highly impactful research in areas of interest to Snap Inc., including machine learning, computational social science, computer vision, natural language processing and more.
Guo’s research focuses on machine learning for massive graphs. Graphs can be used to represent complex structures and their interactions in various domains, such as social networks in social media, trading networks in the economy, and molecules in biology.
She investigates scalability and generalizability issues in graph learning and plans to collaborate with Snap and apply novel methodologies to industrial-scale applications.
“Snap is serving hundreds of millions of users, and the number is still increasing at an astonishing speed,” Guo said.
“With Snap’s support, I will develop effective approaches to learn from existing users and transfer this knowledge to serve new users.”
Guo is a member of the University of Notre Dame’s Data, Inference, Analytics, and Learning (DIAL) Lab, which, under the direction of Nitesh V. Chawla, focuses on a diverse set of problems in data and network science with the broader mission of social good.
— Karla Cruise, Notre Dame Engineering