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Lars Teubner M.Sc.

Doctoral Researcher

Working area(s)

Machine Learning for Data Engineering, Hessen-AI

Contact

Work S2|02 A309
Hochschulstr. 10
64289 Darmstadt

I am a PhD student in the Systems Group at TU Darmstadt, where my research focuses on tabular representation learning and machine learning–driven tabular data engineering. I built the foundation for this work during my Bachelor’s and Master’s studies at TU Darmstadt, which followed a similar research direction.

My current research focuses on developing compact tabular models that can generalize across a wide range of tasks. To achieve this, I explore latent-space manipulation techniques aimed at improving both model versatility and efficiency. Ultimately, this work aims to contribute to the development of versatile tabular foundation models.

Research Interests:

  • Table Representation Learning
  • Latentspace manipulation techniques
  • ML-Oriented Data Engineering