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Resume (English only)
Background
Fifth-year Ph.D. student at the Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT)
Affiliated with the Laboratory for Information and Decision Systems (LIDS)
Broadly interested in dynamical systems, network science, and machine learning on combinatorial structures and relational data
Leverages graphs to model and reason about dependencies in interconnected systems, aiming to develop principled and practical solutions to complex problems
Theoretical focus: understanding attention mechanisms in graph neural networks and transformers through a graph-theoretic lens, exploring how they give rise to 'intelligence' beyond scaling laws
Applied focus: developing scalable machine learning solutions for large-scale recommender systems and applying graph-based techniques to uncover patterns and insights in data