Shuyi Yan

Shuyi Yan is a PhD Fellow at the Department of Computer Science, University of Copenhagen, specializing in theoretical computer science within the Algorithms and Complexity (AC) section. Her research focuses on algorithm design and computational complexity, with applications in machine learning and data analysis.

Her recent work includes:

• Combinatorial Correlation Clustering (STOC 2024): Advances in clustering algorithms for graph structures.
• Edge-weighted Online Stochastic Matching (SODA 2024): Breakthroughs in online matching algorithms surpassing classical efficiency bounds.

These contributions align with the AC section's mission to bridge theoretical foundations with real-world applications, particularly in big data analytics through the BARC research center.