I have been working on the following problems:

- Spectral Learning and Approximate Minimisation of Weighted Automata over Trees and Graphs
- Introducing Non-Linearity in Tensor Learning Methods using Kernel Methods and Neural Networks
- Learning Algebraic Mixtures and Distorted Distribution using Tensor Decomposition Techniques

- Tensor Decompositions Techniques
- Spectral Learning
- Kernel Methods
- Negative/Algebraic Mixture Models
- Rational Distributions on Strings/Trees
- (Weighted) Automata Theory and (Probabilistic) Context Free Grammars
- ...