My research focuses on algorithms and computational methods for data analysis, especially data that can be modeled by a graph or network. This combines interests in computational science, machine learning, CS theory, and various data science applications.
Graph Algorithms, Network Science, Matrix Computations, Combinatorial Optimization, Data Science, Machine Learning.
- Hypergraph algorithms for higher-order data analysis
- Flow-based methods for community detection
- Approximation algorithms for correlation clustering