Guy Wolf
Université de Montréal
Professeur adjoint


Major interests

  1. Exploratory data analysis with manifold learning and deep learning
  2. Applied harmonic analysis, spectral graph theory, and diffusion geometry
  3. Graph signal processing and geometric deep learning
  4. Data-driven characterization of nonlinear structrures, patterns, and dynamics
  5. Biomedical big data applications (e.g., genomics and neuroscience)