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MARS: Mathematics for AI in Realworld Systems
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  1. Mathematics for AI in Real-world Systems
  2. About Us
  3. People
  4. Catherine Drysdale
  1. Mathematics for AI in Real-world Systems
  2. About Us
  3. People
  4. Catherine Drysdale

Dr Catherine Drysdale

Lecturer in Applied Mathematics
  • Publications
  • Projects
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  • Research Groups
  • 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
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Catherine Drysdale
Contact Details
  • School of Mathematical Sciences
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  • MARS: Mathematics for AI in Real-world Systems
    School of Mathematical Sciences
    Lancaster University
    Lancaster
    LA1 4YX
    United Kingdom
  • mars@lancaster.ac.uk
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