• MARS: Connecting Brain Networks and Hormones together via Pseudospectra to Understand the Mechanisms of Depression
  01/05/2026 → 30/04/2029
  Research
  

Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
Invited talk

International Conference on Mathematical Neuroscience
Symposium

Mathematical aspects of the physics with non-self-adjoint operators
Participation in conference - Public

Interactions of geometric spectral theory with numerical methods and applications
Participation in conference - Public

Universal Methods for Computing Spectra of Linear and Nonlinear Eigenvalue Problems
Invited talk

Rigged dynamic mode decomposition: Data-driven generalized eigenfunction decompositions for Koopman operators
Oral presentation

Computation and Verification of Spectra for Non-Hermitian Systems
Oral presentation

A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity
Oral presentation

Higher-order interactions: mechanisms, behaviors, and networks
Participation in workshop, seminar, course

Summer School on Affective Neuroscience
Participation in conference -Mixed Audience

Statistical Mechanics of the Climate System and of Ecosystems
Participation in conference -Mixed Audience

SIAM Dynamical Systems
Participation in conference -Mixed Audience

• MARS: Mathematics for AI in Real-world Systems