About me

I’m a PhD student at the Hasso Plattner Institute in Potsdam, Germany working on Deep Learning and Natural Language Processing, particularly transfer learning between languages, tasks, and domains. I am also working on computationally efficient training and inference of large language models. Previously, I worked on computer vision tasks in the art domain, especially image generation using GANs.

My advisor is Gerard de Melo and I am also part of his Artificial Intelligence and Intelligent Systems group.

I grew up in Frankfurt, Germany, moved to Potsdam, Germany for my studies and spent six months in Los Angeles during an internship with SAP. In my spare time, I enjoy playing my saxophone, chess, alpine hiking, and solo traveling.

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Background

Interests
  • Deep Learning
  • Natural Language Processing
  • Transfer Learning
  • Crosslingual Transfer
  • Model Editing
  • Open Source Software
Education
  • PhD in Computer Science (Machine Learning)

    Hasso Plattner Institute, University Potsdam

    2022 - present

  • MSc in Computer Science (IT-Systems Engineering)

    Hasso Plattner Institute, University Potsdam

    2020 - 2022

  • BSc in Computer Science (IT-Systems Engineering)

    Hasso Plattner Institute, University Potsdam

    2016 - 2020

Publications

Efficient Parallelization Layouts for Large-Scale Distributed Model Training
WANT@NeurIPS 2023, Best Paper Award
Efficient Parallelization Layouts for Large-Scale Distributed Model Training
Art Creation with Multi-Conditional StyleGANs
IJCAI 2022
Art Creation with Multi-Conditional StyleGANs
Image Classification in the Art Domain
University Press Potsdam, 2021
Image Classification in the Art Domain
Generation of Bots Based on Observed Behavior
US Patent Office
Generation of Bots Based on Observed Behavior