Iris Yoon

Iris Yoon is an Assistant Professor of Mathematics at Wesleyan University, specializing in topological data analysis with applications in biological systems. Her research bridges algebraic topology, network theory, and machine learning to address complex problems in neuroscience, cancer research, and genomics.

Her research interests focus on developing novel topological methods for analyzing biological data. She creates mathematical frameworks that extract meaningful patterns from high-dimensional datasets, particularly in tumor microenvironments and neural systems. Her work combines persistent homology, relational topology, and multiscale analysis to reveal hidden structures in biological systems.

Yoon's publication record shows consistent contributions to computational topology with increasing biological applications since 2018. Her recent work (2023-2025) demonstrates sophisticated applications of topological methods to tumor-immune interactions, neural manifolds, and cellular spatial patterns, reflecting an evolving research trajectory toward complex biological systems.

Outside traditional academic publications, Yoon has developed practical applications including a classical musician recommendation system based on collaboration networks using node2vec embeddings, and a COVID-19 hospital bed shortage prediction model. These demonstrate her commitment to applying topological methods to real-world data science problems.