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
- ...