Academic interests
I am working on vine copula based methods in machine learning. My academic interests are:
- Vine Copulas: Dependence modelling for high-dimensional data, structure selection, simplified vine copulas.
- Generative Modelling and Synthetic Data: privacy-utility trade-off, differential privacy, knowledge-informed generative model design.
- Bayesian Statistics and Machine Learning: Variational inference, Quasi-Bayes, Bayesian neural networks.
Background
M.Sc. Mathematics at the Technical University of Munich (TUM), Germany, 2022