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 part of his Artificial Intelligence and Intelligent Systems group. I am also in the ELLIS PhD student program co-advised by Desmond Elliott at University of Copenhagen.

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. I am currently doing a research internship with InstaDeep in Paris. In my spare time, I enjoy playing my saxophone, chess, alpine hiking, and solo traveling.

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Background

Interests
  • Natural Language Processing
  • Transfer Learning
  • Crosslingual Transfer
  • Model Editing
  • Efficient Deep Learning
  • 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
COLM 2024, previously WANT@NeurIPS 2023 (Best Paper Award)
Art Creation with Multi-Conditional StyleGANs
IJCAI 2022
Image Classification in the Art Domain
University Press Potsdam, 2021
Generation of Bots Based on Observed Behavior
US Patent Office