I work as a Machine Learning Scientist with special interest in
- Statistical Machine Learning
- Probabilistic & Distributional Modeling
- Neural Time Series Forecasting
- Foundational Time Series Models
- Representation Learning
- Deep Learning for Tabular Data
- Transfer Learning
- Tree-Based Modeling
- ...
Extensions of the major decision tree algorithms to a probabilistic framework that models and predicts the entire conditional distribution of univariate and multivariate targets as a function of covariates.
My areas of interest. But I am also more than happy for an exchange on other interesting topics.
"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."
— John von Neumann
"For the true is the indicator both of itself and of the false."
— Baruch Spinoza
"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes."
— Joanna Maciejewska
"What we don't understand, we explain to each other."
— J. Robert Oppenheimer
"An expert is a person who has made all the mistakes that can be made in a very narrow field."
— Niels Bohr
"Damit das Mögliche entsteht, muß immer wieder das Unmögliche versucht werden."
— Hermann Hesse