:tada: Welcome to my GitHub-Repo

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
• ...

:bulb: I'm currently working on

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.

:computer: Languages and Tools

:thought_balloon: Ask me anything about

My areas of interest. But I am also more than happy for an exchange on other interesting topics.

:speech_balloon: Favourite Quotes

"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

"Forecasting is less about predicting the future with certainty and more about making informed, data-driven decisions under uncertainty."

— Author unknown

:chart_with_upwards_trend: GitHub Stats