Dena Marie Asta

Dena Marie Asta works on statistical and mathematical foundations for analyzing network and geometric data, including how to model networks using continuous latent spaces, estimate probability densities on curved (non-Euclidean) mathematical spaces, and learn low-dimensional structure from complex data (manifold learning). This work combines statistics, probability theory, and geometry, with occasional applications such as studying social relationships and health behaviors.

Publication output over the last decade has been uneven, with gaps in some years followed by a cluster of activity in 2024, averaging about one publication per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026