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Learning
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Learning
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Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Public Sponsor

Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Public Sponsor

Organizations

@basf

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ChrisW09/README.md

👋 Hi, I'm Christoph Weisser

🚀 Prof. Dr. Christoph Weisser, MLitt (St Andrews), MSc (Oxford)
Professor of Mathematics (Business Data Science) · Hochschule Bielefeld (HSBI)
Former Technical Lead Analytics & Artificial Intelligence @ BASF

I work at the intersection of Artificial Intelligence, Business Data Science, and open-source software, translating cutting-edge research into production-ready AI systems. My research focuses on Generative AI, agentic AI systems, tabular deep learning, machine learning, and statistics, with a strong emphasis on bridging academic innovation and real-world industrial applications.

🌍 Connect

🔬 Research Interests

  • Artificial Intelligence
  • Generative AI
  • Agentic AI Systems
  • Business Data Science
  • Tabular Deep Learning
  • Machine Learning
  • Statistics

🚀 Featured Open-Source Projects

🎓 Data Science and Applied AI Education

  • Python for AI-Driven Automation – A practical, self-paced course taking you from your first line of Python to building AI-powered automation.
  • Quantitative Research Methods – University course materials covering statistics and machine learning, with lecture slides, hands-on labs, mock exams, and datasets, based on An Introduction to Statistical Learning with Applications in Python.
  • Bridging AI & Society Summer Schools – Educational resources connecting the technical foundations of AI with its ethical, legal, and societal dimensions.

🧠 Tabular Deep Learning

  • DeepTab – Modern tabular deep learning with Mamba, Transformers, ResNets, and a scikit-learn API.
  • PreTab – Modular, scikit-learn-compatible feature representation and preprocessing for tabular data.

⚙️ Composite AI System Optimization

  • CAFE – A Python package and web application for evaluating and optimizing composite AI systems through factorial experiments, identifying which components and interactions drive quality and exploring cost–latency trade-offs.

⭐ Research • Open Source • Industry

Pinned Loading

  1. OpenTabular/DeepTab OpenTabular/DeepTab Public

    DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mamb…

    Python 327 27

  2. Python-for-AI-Driven-Automation Python-for-AI-Driven-Automation Public

    A modern, hands-on, self-paced course that takes you from your first line of Python to shipping a real AI-powered automation.

    Jupyter Notebook 26 31

  3. OpenTabular/PreTab OpenTabular/PreTab Public

    PreTab is a modular, scikit-learn-compatible representation and preprocessing library for tabular data. Its focus is feature representation and expansion: splines, neural basis maps, piecewise-line…

    Python 18 3

  4. DataandAIReseach/LabelFusion DataandAIReseach/LabelFusion Public

    A comprehensive Python package for multi-class and multi-label text classification using Large Language Models (LLMs) and traditional machine learning models, with advanced ensemble methods for opt…

    Jupyter Notebook 14 3

  5. Quantitative-Research-Methods Quantitative-Research-Methods Public

    Quantitative Research Methods — university course lecture materials (slides, labs, mock exams, datasets), based on 'An Introduction to Statistical Learning with Applications in Python' (ISLP, Sprin…

    Jupyter Notebook 12 19