My research interests lie in the intersection of Machine Learning, Theoretical Computer Science and Multilinear Algebra. In particular, I focus on exploring fruitfuil connections between tensors and machine learning and on developing efficient learning schemes for structured data by leveraging linear and multi-linear algebra.
More generally, I am interested in

  • Tensor Decompositions Techniques
  • Using Tensor Networks for Machine Learning
  • Spectral Learning
  • Kernel Methods
  • (Weighted) Automata Theory and (Probabilistic) Context Free Grammars
  • Non-linear computational models on strings, trees and graphs
  • ...