Summary
Rong Pan is an Associate Professor at Sun Yat-sen University with nine years of professional experience and a PhD in Applied Mathematics, specializing in data mining and recommendation systems. Her research and applied work focus on building collaborative filtering and recommendation models for implicit feedback, personalization on PCs, web query classification for ad targeting, and relational learning for mobile object tracking in sensor networks. She combines strong academic training with postdoctoral experience at Hewlett-Packard Labs and HKUST, bridging theory and practical system design. Known for tackling sparse and implicit-data problems, she brings both statistical rigor and systems thinking to real-world personalization challenges.
9 years of coding experience
PhD, Applied Mathematics, PhD, Applied Mathematics at Sun Yat-sen University