Austin R. Benson

Austin R. Benson is an Assistant Professor of Computer Science at Cornell University, with field memberships in Applied Math and Data Science. His research develops computational frameworks for analyzing complex data to understand network connectivity and decision-making patterns.

• Research supported by the Army Research Office and National Science Foundation, including an NSF CAREER Award.
• Core areas: Higher-order Network Analysis, Hypergraph Clustering, Discrete Choice Modeling, and Graph Neural Networks.
• Key contributions: theoretical advancements in hypergraph properties, submodular optimization, and temporal network modeling.

His 15 most recent publications focus on higher-order structures in networks, hypergraph learning, and discrete choice models. Awards include the Stanford ICME Gene Golub Doctoral Dissertation Award, KDD Best Paper (2019), and ASONAM Best Paper Runner-up (2019).