Finn Schmidt

Doctoral Researcher

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BIOGRAPHY

Finn completed his Bachelor’s degree in Mathematics at the Karlsruhe Institute of Technology and then pursued his Master’s studies at the University of Göttingen, focusing on Machine Learning. He wrote his Master’s thesis in Computational Neuroscience on Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors.

RESEARCH INTERESTS

Finn’s prime interest lies in the areas of

  • Applied Natural Language Processing
  • Domain adaptation of language models
  • Multilingual Machine Translation

Contact

Finn Schmidt

Papendiek 14
37073 Göttingen
Germany

Mail: fschmidt@gipplab.org

Project websites

Social Network Profiles

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SHORT CV

02/2025 – present

Doctoral Researcher
Chair for Scientific Information Analytics, University of Göttingen, Germany

10/2022 – 12/2024

M.Sc. in Mathematics
University of Göttingen, Germany

07/2022 – 01/2023

Research Internship 
Uniserv GmbH, Pforzheim

01/2022 – 06/2022

Semester Abroad
Reykjavík University

10/2018 – 09/2021

B.Sc. in Mathematics
Karlsruhe Institute of Technology

SELECTED PUBLICATIONS

    1. Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
      Finn Schmidt, Suhas Shrinivasan1, Polina Turishcheva1, Fabian Sinz NeuReps @ NeurIPS 2024 , equal contribution: 1
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